Microsoft AI Foundry Learning Path
Learn how Microsoft AI Foundry supports the design, development, evaluation, deployment, and operation of enterprise AI solutions.
What you will learn
Model and agent development, grounding data, evaluation, deployment, security, monitoring, and operations.
Architecture, security, and governance
Build on governed data and identity foundations. Evaluate agents before release, monitor them in production, and keep the architecture adaptable.
🎧 Recommended podcast episodes
- Building Trusted Enterprise AI with Microsoft AI Foundry — connects platform choices to trusted outcomes.
- AI Agents — Simply Explained — reinforce the agent concepts behind implementation.
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 AI Foundry learning objectives
Learn how a platform approach supports the lifecycle of building, evaluating, securing, and operating enterprise AI solutions.
FAQ
What should teams evaluate before production?
Evaluate grounding, safety, identity, data access, observability, reliability, and the operating model—not only model quality.
Continue learning: return to the Microsoft AI and Agents Learning Hub and choose the adjacent module that matches your role.
Last reviewed: July 2026.