AI Transformation Learning Path
Learn how to turn AI pilots into lasting organizational change with adoption, operating-model, capability, and measurement practices.
What you will learn
Use-case selection, leadership alignment, skills, adoption, change management, governance, and outcome measurement.
Architecture, security, and governance
Prioritize a small number of high-value workflows, support people through the change, and use evidence to decide what scales next.
🎧 Recommended podcast episodes
- Beyond Copilot: How to Make AI Transformation Actually Stick — focus on sustainable adoption.
- From AI Hype to AI Harness Engineering — connect transformation to trustworthy engineering.
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 transformation learning objectives
Learn how people, processes, operating models, and measurable outcomes turn AI capability into sustainable business change.
FAQ
What makes AI transformation durable?
Durable transformation combines technology with adoption, leadership ownership, role redesign, governance, and outcome measurement.
Continue learning: return to the Microsoft AI and Agents Learning Hub and choose the adjacent module that matches your role.
Last reviewed: July 2026.