AI Strategy for Leaders
The earlier courses made you fluent with AI as an individual. This one operates a level up: leading AI across a team or organization. By the end you will be able to write and defend a one-page AI strategy and roadmap for your own organization.
How this course is taught: a running capstone
This course is case-driven and framework-first, with a running capstone: each lesson adds one section to your own AI strategy document. By the final lesson you are not starting from scratch, you are assembling and defending what you built along the way. The hands-on work here is strategy work (opportunity maps, prioritization, a business case, a governance plan), not coding.
The arc
| Movement | What you produce |
|---|---|
| Frame | See where AI creates value and find the opportunities |
| Decide | Turn opportunities into a prioritized, funded, build-or-buy portfolio |
| Enable | Assess readiness and lead the people side |
| Govern | Put guardrails in place and lay out a path from pilot to scale |
See where the value is, choose the bets, build the readiness, lead responsibly.
The lessons
- AI as a Capability, Not a Tool — the strategic lens
- Spotting AI Opportunities — the value map
- Prioritization: Value vs. Feasibility — the 2x2 that runs the room
- The Business Case: ROI, Cost & Value — the real cost picture
- Build vs. Buy vs. Partner — the make-or-buy decision
- Data & Infrastructure Readiness — a non-technical readiness check
- People & Operating Model — roles, model, and upskilling
- Leading Adoption: Change Management & Culture — why initiatives really fail
- Responsible AI Governance — org-level policy and accountability
- Risk, Security & Regulation — the AI risk map and the EU AI Act
- The AI Roadmap: From Pilot to Scale — escaping pilot purgatory
- Capstone: Your Organization's AI Strategy — assemble and defend it
Start with AI as a Capability, Not a Tool.