Microsoft AI and Agents Learning Hub

Microsoft AI and agents turn data, models, tools, and business processes into systems that can reason, act, and collaborate. Use this hub to learn the concepts, architecture, governance, and operational practices needed to move from experimentation to trusted enterprise outcomes.

Choose your learning path

• AI Agents — understand the purpose, capabilities, and limits of agentic systems.
• Microsoft Agent Framework — explore the foundations for building and coordinating agents.
• Agent-to-Agent Communication — learn how agents exchange context and delegate work.
• Agent Feed — understand agent activity, visibility, and collaboration patterns.
• Agent Governance — establish controls that enable safe adoption.
• Responsible AI — design accountability, transparency, and risk management into AI work.
• Microsoft AI Foundry — build and operate enterprise AI solutions on Microsoft’s platform.
• Enterprise AI Architecture — connect data, identity, security, and operating models.
• AI Transformation — turn pilots into measurable, sustainable organizational change.

Recommended podcast episodes

• AI Agents — Simply Explained — a practical starting point for the core ideas and vocabulary.
• Microsoft Agent Framework — Simply Explained — explains how agent systems can be structured.
• Agent-to-Agent (A2A) Communication — Simply Explained — introduces coordinated agent workflows.
• Agent Governance Explained — connects governance to responsible innovation.
• Building Trusted Enterprise AI with Microsoft AI Foundry — grounds the journey in enterprise architecture.

Next learning step

After completing an AI path, continue with the M365.fm Learning Hub to connect AI work with security, data, automation, and the Microsoft 365 platform.

Last reviewed: July 2026.

AI and Agents learning path

Start with AI Agents and the Microsoft Agent Framework. Then learn agent-to-agent communication and agent feed patterns. Apply governance and Responsible AI before moving to enterprise architecture and transformation.

FAQ

What is the right order for enterprise AI learning?

Learn the foundations and interaction patterns first, then establish governance and responsible-use controls before scaling architecture and change.

Continue learning: return to the Microsoft AI and Agents Learning Hub and choose the adjacent module that matches your role.

Last reviewed: July 2026.