Microsoft Agent Framework Learning Path
Learn how a Microsoft agent framework helps organize the components, interactions, and lifecycle of AI agents.
What you will learn
Agent components, tool connections, orchestration, state, testing, and lifecycle management.
Architecture, security, and governance
Treat framework choices as architecture decisions: define identity, data access, evaluation, and support responsibilities before scaling.
🎧 Recommended podcast episodes
- Microsoft Agent Framework — Simply Explained — explore the building blocks of agent systems.
- Agent Feed — Simply Explained — add operational visibility to the design discussion.
Frequently asked question
What is the best next step?
Start with the recommended episode, document the business problem you are solving, and use the parent hub to choose the next adjacent learning path.
Continue learning
Return to the Microsoft AI and Agents Learning Hub, then continue through the M365.fm Learning Hub.
Last reviewed: July 2026.
Microsoft Agent Framework learning objectives
Learn how an agent framework provides structured patterns for tools, context, orchestration, and observability.
FAQ
Why use an agent framework?
A framework helps teams make agent behavior more consistent, testable, and governable as solutions grow.
Continue learning: return to the Microsoft AI and Agents Learning Hub and choose the adjacent module that matches your role.
Last reviewed: July 2026.