Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
What if your cloud could see, hear, speak, and reason — with enterprise-grade reliability? With Azure AI, it can.
Our instructor-led live courses explore how Microsoft’s powerful AI platform fuels real-world innovation — whether you're deploying multimodal agents through Azure OpenAI, building voice apps with Speech Services, or automating decisions using Cognitive Services and Azure Machine Learning.
Train online via an interactive remote desktop, or join live sessions in Bordeaux — held onsite at your location or at a NobleProg training center — where labs simulate mission-critical AI pipelines at scale.
Also referred to as Microsoft Azure AI, Azure Cognitive Services, or Azure OpenAI, this training track helps professionals and teams design, deploy, and govern intelligent applications — securely, responsibly, and at cloud speed.
NobleProg – Your Local Training Provider
Bordeaux, Mériadeck
Nomade Bordeaux, 39 Rue du Château d'Eau, Bordeaux, france, 33000
Located in the heart of Bordeaux, in the Mériadeck quarter, fully equipped and air-conditioned, NOMADE allows mobile professionals to settle down to work and share with other coworkers in a friendly atmosphere.
It offers 23 workstations in open space, a shared meeting room and 5 meeting rooms for rent in Bordeaux center.
The entire space can also be rented in the evening for your events.
Access: TRAM A MERIADECK station, TRAM B GAMBETTA station
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
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