Microsoft Foundry for Enterprise AI Agents

About this course

Microsoft Foundry for Enterprise AI Agents is designed for experienced developers such as AI engineers, .NET developers, and ML engineers seeking to build enterprise-grade AI solutions on Azure. This course assumes familiarity with cloud development, AI concepts, and .NET, ensuring learners are prepared to engage with advanced topics effectively. The course centers on a realistic enterprise scenario: the Northstar Operations Assistant, a practical project that demonstrates how AI agents can investigate issues, retrieve enterprise evidence, coordinate tools, and support traceable decisions-skills directly applicable to enterprise AI deployments.

Build Governed Agents with Foundry Agent Service and .NET.This course focuses on the architecture and operating model required when AI agents interact with enterprise data, identities, APIs, tools, and production controls. You will build and invoke agents with Foundry Agent Service and the Responses API. The course explains agent types, instructions, conversations, versioning, publishing, safe failure, and human approval. You will test both supported and unsupported requests so you can evaluate agent behavior rather than assume it.

Ground Enterprise Agents with Foundry IQ and RAGEnterprise agents need evidence, not simply fluent output. You will explore Retrieval-Augmented Generation (RAG), the difference between classic RAG and agentic retrieval, and how Foundry IQ provides a managed knowledge layer for AI agents. You will work with knowledge sources, knowledge bases, Azure AI Search, permission-aware retrieval, and citations. You will also test unsupported questions and examine why a citation must support the actual claim rather than merely reference a related source. The objective is to build agents that can distinguish between evidence-backed answers and responses that should be refused or escalated.

Why This Course Is Different

Many AI agent cou

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