Microsoft Agent Framework: Build Multi-Agent AI Systems

About this course

“This course contains the use of artificial intelligence.”

Move beyond chatbot demos and build an AI agent that performs a complete business workflow.

Microsoft Agent Framework gives developers a foundation for creating tool-using agents and controlled agentic workflows. In this hands-on course, you will learn the framework by building one application from beginning to end: an AI-powered dentist appointment system.

You begin with a single agent and controlled business tools. You then develop appointment search and booking capabilities, introduce specialized agent responsibilities, orchestrate a multi-step workflow, maintain structured state, and require human confirmation before consequential actions.

The course also examines AutoGen migration so developers working with earlier Microsoft agent technologies can plan their transition systematically.

Who this course is for

Python or .NET developers entering agentic AI developmentAI engineers who want to move beyond chatbot prototypes

Azure developers building agent-enabled applications

Software architects evaluating Microsoft Agent FrameworkAutoGen developers planning future agent projects or migrations

What you will learn

Explain Microsoft Agent Framework's core agent architecture

Create and configure a tool-using AI agent

Design typed tools around deterministic business services

Build an AI-powered appointment scheduling application

Prevent the model from inventing business-system data

Maintain structured state across a multi-step process

Separate responsibilities across specialized agents

Add human approval before consequential operations

Design and test failure paths and controlled execution

Plan an AutoGen-to-Agent-Framework migration

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