Online or onsite, instructor-led live Intelligent Applications training courses demonstrate through interactive hands-on practice how to build intelligent mobile applications and bots.
Intelligent Applications training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Strasbourg onsite live Intelligent Applications trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
Intelligent Applications is also known as intelligent apps and I-apps.
NobleProg -- Your Local Training Provider
Strasbourg, Kibitzenau Station
Le Lodge Business Center, 20 avenue du Neuhof , Strasbourg, France, 67100
Access: opposite the Kibitzenau streetcar station, in the ZFU.
Training can also be organized on your premises in Strasbou...
Access: opposite the Kibitzenau streetcar station, in the ZFU.
Training can also be organized on your premises in Strasbourg or remotely. The 3rd option is to rent a room specifically for the duration of the course.
Training sessions can be given in English or French. For each session, we organize a coordination call with the trainer and participants to adapt the program to your expectations and level. Training includes theory, discussion, questions/answers and practical exercises.
Remote training is delivered via DaDesktop for training, a software package published by NobleProg that enables participants to have a workstation (VM) set up specifically for the training.
This instructor-led, live training in Strasbourg (online or onsite) is aimed at intermediate-level to advanced-level AI professionals and software developers who wish to build intelligent applications using AI and ML.By the end of this training, participants will be able to:
Understand the advanced concepts and technologies behind AI and ML.
Analyze and visualize data to inform AI/ML model development.
Build, train, and deploy AI/ML models effectively.
Create intelligent applications that can solve real-world problems.
Evaluate the ethical implications of AI applications in various industries.
This instructor-led, live training in Strasbourg (online or onsite) is aimed at intermediate-level to advanced-level data scientists, engineers, and AI practitioners who wish to master the intricacies of intelligent applications and leverage them to solve complex, real-world problems.By the end of this training, participants will be able to:
Implement and analyze deep learning architectures.
Apply machine learning at scale in a distributed computing environment.
Design and execute reinforcement learning models for decision-making.
Develop sophisticated NLP systems for language understanding.
Utilize computer vision techniques for image and video analysis.
Address ethical considerations in the development and deployment of AI systems.
This instructor-led, live training in Strasbourg (online or onsite) is aimed at beginner-level IT professionals who wish to gain a foundational understanding of intelligent applications and how they can be applied in various industries.By the end of this training, participants will be able to:
Understand the history, principles, and impact of artificial intelligence.
Identify and apply different machine learning algorithms.
Manage and analyze data effectively for AI applications.
Recognize the practical applications and limitations of AI in different sectors.
Discuss the ethical considerations and societal implications of AI technology.
Intelligent applications (aka intelligent apps and I-apps) are next generation apps that can continually learn from user interactions to provide better value and relevance to users.In this instructor-led, live training, participants will learn how to build intelligent mobile applications and bots.By the end of this training, participants will be able to:
Understand the fundamental concepts of intelligent applications
Learn how to use various tools for building intelligent applications
Build intelligent applications using Azure, Cognitive Services API, Stream Analytics, and Xamarin
Audience
Developers
Programmers
Hobbyists
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
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