Generative AI for .NET Developers with Microsoft Foundry

About this course

This course is being rebuilt for the Microsoft Foundry era. It is currently being modernized to align with Microsoft Foundry, the native Microsoft AI Extensions library, Azure AI Search, RAG, agents, evaluation, security, observability, and production deployment. New lectures are being added while older Azure AI Studio, Azure ML, and legacy Azure AI Services content is being reviewed, replaced, or moved into optional refresher sections.

Generative AI development on Azure has changed significantly. Modern .NET developers now need more than basic prompt demos or simple Azure OpenAI calls. Professional AI applications require secure model access, structured outputs, Retrieval-Augmented Generation, vector search, tool calling, agents, evaluation, observability, and production deployment practices.

This course teaches .NET developers how to build production-minded generative AI applications using Microsoft Foundry, Azure OpenAI-compatible models, Azure AI Search, Microsoft AI Extensions, RAG, agents, security, evaluation, and deployment.

The main project is VibeCast, an enterprise-style multimodal AI application. Through the project, you will build practical workflows for content generation, structured summaries, image and audio processing, document grounding, tool calling, agentic orchestration, security controls, monitoring, and deployment.

This is not a generic AI theory course and not a pure certification cram course. It is a practical engineering course for developers who want to build real AI-enabled applications with C# and .NET.You will learn how to:

• Build modern .NET AI applications using Microsoft Foundry and Azure OpenAI-compatible model deployments.
• Use IChatClient, and IEmbeddingGenerator to keep your code testable and provider-flexible.
• Design prompt assets, structured outputs, C# records, validation flows, and bounded response repair.
• Build prof

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