Scrum Master I — AI
AI-ready Scrum Master certification. Validates the craft of making Scrum work in AI-augmented teams — the framework, accountabilities, events, and artifacts, and the signature discipline of facilitating a team where AI is a teammate: coaching healthy human–AI collaboration, protecting empiricism and focus, and clearing the new impediments AI-era delivery creates. AI competence is tested in every domain. Grounded in the 2020 Scrum Guide.
Exam Composition
D1Agile Foundations & Empirical Thinking12.5%›
The reasoning beneath Scrum: the Agile values and principles, empirical process control and its three pillars, the five Scrum values, lean thinking, and how to tell a complex problem from one better served by a predictive approach.
D2The Scrum Team & Accountabilities22.5%›
The Scrum Team: its composition and size, the three accountabilities and the boundaries between them, self-management, cross-functionality, and how AI tools participate in a team without holding any accountability of their own.
D3Scrum Events25%›
The five Scrum events: the purpose, timebox, attendees and outputs of each, the Sprint as the container for the rest, and the anti-patterns that quietly replace an event's purpose with something else.
D4Scrum Artifacts & Commitments17.5%›
The three artifacts and their commitments, being the Product Goal, the Sprint Goal and the Definition of Done, together with refinement as an ongoing activity, INVEST criteria for backlog items, and reading burndown and velocity as forecasting tools rather than performance scores.
D5Scrum Master in Practice & Organizational Context22.5%›
The Scrum Master in practice: facilitation and coaching stances, impediment removal, psychological safety, servant leadership, coaching the Product Owner and the wider organization, the basics of scaling, and translating between legacy terminology and the current Scrum Guide.
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