Vertex AI Training in Nantes

Vertex AI offers streamlined integration pathways to embed Gemini models directly into mobile and web applications through Firebase and SDKs. This empowers developers and product teams to deliver AI-driven features at the application level, such as intelligent assistants, multimodal input processing, and personalized user experiences.

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate-level practitioners who aim to incorporate Vertex AI Gemini capabilities into their applications using Firebase and associated SDKs.

Upon completion of this training, participants will be able to:

• Configure Firebase and SDKs for Vertex AI integration.
• Integrate Gemini-powered features into mobile and web applications.
• Process multimodal inputs, including text, images, and audio, within client apps.
• Deploy and monitor AI features in production environments.

Course Format

• Interactive lectures and discussions.
• Hands-on labs using Firebase and Vertex AI SDKs.
• Project-based exercises focused on app-level AI features.

Course Customization Options

• To request a customized version of this course, please contact us to arrange.

Vertex AI delivers enterprise-grade tools designed to manage the complete machine learning lifecycle, emphasizing observability, compliance, and operational excellence. Equipped with live monitoring, data residency controls, grounding capabilities, and integrated Gen AI evaluation, Vertex AI is engineered to satisfy the rigorous demands of production-grade AI systems.

This instructor-led, live training (available online or onsite) targets intermediate to advanced-level professionals seeking to deploy, monitor, and govern Vertex AI models within enterprise environments.

Upon completing this training, participants will be able to:

• Establish MLOps pipelines using Vertex AI.
• Monitor and observe models with real-time insights.
• Apply grounding techniques and evaluation tools for Gen AI models.
• Implement compliance and governance strategies, including data residency controls.

Format of the Course also allows for the evaluation of participants.

• Interactive lecture and discussion.
• Hands-on labs with enterprise-grade Vertex AI tools.
• Case studies and compliance-driven scenarios.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Vertex AI offers robust tools for constructing multimodal LLM workflows that seamlessly integrate text, audio, and image data into a unified pipeline. By leveraging long context window support and Gemini API parameters, it facilitates the development of sophisticated applications focused on planning, reasoning, and cross-modal intelligence.

This instructor-led live training (available online or onsite) is designed for intermediate to advanced practitioners aiming to design, build, and optimize multimodal AI workflows within Vertex AI.

Upon completion of this training, participants will be capable of:

• Utilizing Gemini models to handle multimodal inputs and outputs.
• Implementing long-context workflows to address complex reasoning tasks.
• Designing pipelines that effectively combine text, audio, and image analysis.
• Optimizing Gemini API parameters to enhance performance and cost efficiency.

Course Format

• Interactive lectures and discussions.
• Hands-on labs focused on multimodal workflows.
• Project-based exercises addressing real-world multimodal use cases.

Customization Options

• To request a tailored version of this course, please reach out to us to arrange details.

Vertex AI Agent Builder provides a no-code and low-code platform for developing grounded agents that merge generative models with Retrieval-Augmented Generation (RAG). This enables teams to swiftly create agents capable of leveraging enterprise data and search capabilities to deliver precise, context-sensitive responses.

This instructor-led, live training session, available either online or on-site, targets intermediate-level professionals aiming to design, configure, and deploy intelligent agents utilizing Vertex AI Agent Builder and RAG methodologies.

Upon completion of this training, participants will be able to:

• Design grounded agent workflows using Agent Builder.
• Implement RAG pipelines utilizing search and vector stores.
• Securely integrate enterprise data sources for retrieval purposes.
• Evaluate and refine agent behavior through testing and performance metrics.

Course Format

• Interactive lectures and discussions.
• Practical labs focusing on Vertex AI Agent Builder and RAG components.
• Project-based exercises to construct and refine agents.

Customization Options

• To request a customized training version of this course, please contact us to make arrangements.

Vertex AI offers sophisticated tools for fine-tuning large language models and managing prompts, allowing developers and data teams to enhance model accuracy, streamline iterative workflows, and ensure rigorous evaluation through integrated libraries and services.

This instructor-led, live training (available online or on-site) is designed for intermediate to advanced practitioners looking to boost the performance and reliability of generative AI applications by utilizing supervised fine-tuning, prompt versioning, and evaluation services within Vertex AI.

Upon completion of this training, participants will be able to:

• Apply supervised fine-tuning techniques to Gemini models in Vertex AI.
• Implement prompt management workflows, including version control and testing.
• Utilize evaluation libraries to benchmark and optimize AI performance.
• Deploy and monitor enhanced models in production environments.

Course Format

• Interactive lectures and discussions.
• Hands-on labs focused on Vertex AI fine-tuning and prompt tools.
• Case studies showcasing enterprise model optimization.

Customization Options

• To request customized training for this course, please contact us to arrange it.

Vertex AI offers a consolidated platform for generative media, featuring models such as Veo for video production, Imagen for image generation, Chirp for speech synthesis, and Lyria for music composition. These tools facilitate production-ready workflows tailored for creative, marketing, and enterprise applications.

This instructor-led, live training—available online or on-site—is designed for intermediate to advanced professionals aiming to leverage generative AI for the creation and deployment of multimedia content via Vertex AI.

Upon completion of this training, participants will be able to:

• Create images, videos, audio, and music using Vertex AI’s model suite.
• Incorporate generative media into marketing and product development workflows.
• Refine prompts and fine-tune outputs to ensure high quality and brand alignment.
• Deploy scalable, production-ready generative media solutions within enterprise environments.

Course Format

• Interactive lectures and discussions.
• Practical exercises utilizing Vertex AI generative media models.
• Real-world case studies and creative project labs.

Customization Options

• To request a customized version of this course, please contact us to arrange details.

This instructor-led, live training in Nantes (online or onsite) is aimed at intermediate-level developers, data scientists, and tech professionals who wish to leverage Google Vertex AI for creating and deploying custom AI models.

By the end of this training, participants will be able to:

• Grasp the capabilities and features of Google Vertex AI.
• Set up and configure the Google Vertex AI environment.
• Develop and train custom AI models using Vertex AI.
• Deploy and manage AI models on Google Cloud Platform.
• Utilize Vertex AI's tools for monitoring and optimizing model performance.
• Implement best practices for AI model development and deployment.

This instructor-led, live training in Nantes (online or onsite) is designed for software engineers at beginner to intermediate levels, or anyone keen on learning how to leverage Vertex AI for machine learning tasks.

By the end of this training, participants will be able to:

• Understand how Vertex AI operates and apply it as a machine learning platform.
• Learn about machine learning and NLP concepts.
• Know how to train and deploy machine learning models using Vertex AI.

This instructor-led, live training in Nantes (online or onsite) is targeted at beginner, intermediate, or advanced developers, cloud engineers, and technical product teams who aim to use Google Cloud generative AI tools to build and evaluate practical AI applications.

By the end of this training, participants will be able to: understand Google Cloud generative AI services, create prompts and workflows, build simple applications with Vertex AI, and apply responsible AI practices.

This instructor-led, live training in Nantes (online or onsite) is designed for beginner, intermediate, and advanced developers and technical practitioners who wish to utilize Google Cloud to build AI agents capable of automating tasks, using tools, and interacting with business data.

By the end of this training, participants will be able to explain AI agent concepts, construct agents with Vertex AI, connect agents to external tools and data, and deploy agents for business use cases.