AI strategy
What does AI strategy cover in AI governance?
1 competency is filed under it: AI strategy and opportunity triage. Each has its own page saying what it means in practice.
The competencies filed under it
- AI strategy and opportunity triage
Decides where AI should be used, where it should not, and which use cases create measurable value, tied to the organization's priorities.
Business and Transformation
Roles that ask for it
- Chief AI Officer1 of 1 competency
- Chief Information Officer, technology leadership edition1 of 1 competency
- Chief Technology Officer, AI engineering edition1 of 1 competency
Where it is taught and graded
18 graded topics, each passed by explaining it back. The first module of every program is free with a free account.
- Module 2: AI Literacy for Decision Makers (3)
- Module 4: The Economics and the Business Case (3)
- Module 5: Workforce and Talent in the AI Era (1)
- Module 7: Technology, Platforms and Vendors (2)
- Module 9: Risk, Resilience and Frontier AI (1)
- Module 2: AI Fundamentals (1)
- Module 4: Practical AI Workflow Design and Prompt Engineering (1)
- Module 6: AI in the Workplace and Team Leadership (1)
- Module 11: Bonus: AI Leadership Accelerator (3)
- Module 12: Bonus: SMB AI Adoption Path (2)
Questions
- What does AI strategy cover in AI governance?
- 1 competency is filed under it: AI strategy and opportunity triage. Each has its own page saying what it means in practice.
- Which roles ask for AI strategy?
- 3 roles on the map name at least one of its competencies, from analyst seats to executive ones. Each role page lists the depth expected.
- Where is AI strategy taught and graded?
- 18 graded topics teach it across 2 programs. Each topic is graded by explaining it back against its own transcript, so a pass is evidence, not attendance. The first module of every program is free with a free account.