
- Introduction to AI and how it complements Agile values.
- Where AI fits into Scrum ceremonies (planning, retrospectives, stand-ups).
- Example: Using AI to estimate sprint capacity.
- Recognize traits of high-performing Agile teams.
- How AI helps detect conflicts, workload imbalance, and burnout.
- Hands-On: Use AI to forecast sprint readiness and analyze team health.
- Basics of Definition of Done (DoD) and Agile testing lifecycle.
- How AI generates test cases and improves test coverage.
- Hands-On: Generate test cases from a user story using AI.
- How Scrum Masters can use AI to spot hidden issues and coach teams.
- Building AI-assisted coaching strategies and wellness checks.
- Hands-On: Use AI to build a 1:1 coaching plan for team members.
- How AI analyzes retrospective data for improvement opportunities.
- Using AI dashboards for Agile maturity assessment.
- Hands-On: Build a continuous improvement plan based on AI insights.