Module 30Optional
Module 29: AI Governance for Delivery Teams
Run the day-to-day governance of AI features inside normal Sprint work: approvals, policy, supply chain, evals and incident response.
11 lessons ~69 min 3 games Certificate included
This role module opens once you finish Foundations and pass its quiz. That way every learner shares the same Scrum baseline before specialising.
What you'll learn
- Lesson 29.1: Who approves an AI feature, and at what blast radius
- Lesson 29.2: An AI usage policy engineers actually follow
- Lesson 29.3: The model and vendor supply chain
- Lesson 29.5: Evaluation as a Definition of Done item
- Lesson 29.6: Prompt and system prompt change control
- Lesson 29.8: Data handling boundaries in prompts
Full lesson list
- 1Lesson 29.1: Who approves an AI feature, and at what blast radius6 min
- 2Lesson 29.2: An AI usage policy engineers actually follow6 min
- 3Lesson 29.3: The model and vendor supply chain6 min
- 4Lesson 29.4: Game - what a security review will actually accept7 min
- 5Lesson 29.5: Evaluation as a Definition of Done item6 min
- 6Lesson 29.6: Prompt and system prompt change control6 min
- 7Lesson 29.7: Game - match the control to the failure it prevents7 min
- 8Lesson 29.8: Data handling boundaries in prompts6 min
- 9Lesson 29.9: Incident response and human oversight that has actually been exercised6 min
- 10Lesson 29.10: Cost and rate limits as a real Sprint constraint6 min
- 11Lesson 29.11: Decision lab - the model you depend on is being retired7 min
- AI Governance for Delivery Teams quizEarn certificate