AI Agents Learning Path
Learn what AI agents are, what they can do, and how to introduce them responsibly in a Microsoft environment.
What you will learn
Agent goals, tools, memory, orchestration, human oversight, and practical use cases.
Architecture, security, and governance
Start with a bounded business outcome, define allowed actions and escalation rules, then measure value and risk together.
🎧 Recommended podcast episodes
- AI Agents — Simply Explained — learn the foundational concepts and how agents differ from chat experiences.
- Agent-to-Agent (A2A) Communication — Simply Explained — understand coordinated agent workflows.
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.
AI agent learning objectives
Understand what an agent does, how it uses context and tools, and where a human owner remains responsible.
FAQ
When is an AI agent useful?
Use an agent when work benefits from repeated reasoning, context, and controlled actions—not simply because a chat interface is available.
Continue learning: return to the Microsoft AI and Agents Learning Hub and choose the adjacent module that matches your role.
Last reviewed: July 2026.