PSM-AI

Scrum.org states that Professional Scrum Master – AI Essentials "Validates your knowledge in applying Artificial Intelligence as a Professional Scrum Master." In practice that means the exam tests judgement about AI in the Scrum Master accountability, not prompt-writing tricks or vendor product features.

Yes. Scrum.org lists a Scrum Master AI Open practice assessment, described as "Prepare for PSM-AI Essentials," alongside its other open assessments. It is the cheapest way to calibrate your readiness before paying for the real assessment.

Scrum.org's assessment pages, rather than its home page, carry those specifics, and they are not stated in the material we verified. Treat any question count, time limit or passing score you see elsewhere as unverified and confirm it on the official certification page before booking.

Scrum.org offers a one-day Professional Scrum Master – AI Essentials course. Its description says students "engage in discussions and exercises to explore practical uses of AI tools and techniques to help them as a Scrum Master and to learn how to enable their Scrum Teams and organization to effectively use AI." The course is optional preparation, not a stated requirement.

Nothing in the source material states a prerequisite. PSM-AI Essentials appears in Scrum.org's catalogue as its own certification entry, listed separately from the PSM I, II and III assessments. If a prerequisite matters to your plans, verify it on the official certification page.

The PSM ladder is described by Scrum.org as "Fundamental, advanced & distinguished levels of Scrum Master knowledge in levels I, II & III." PSM-AI Essentials is a separate, single-level credential aimed specifically at applying AI within the Scrum Master accountability rather than at deepening general Scrum mastery.

Scrum.org markets its certifications generally as "industry respected certification tests that do not require renewal." That statement is made at the level of its certification programme, so confirm whether any exception applies to this specific assessment on its official page.

Build fluency first: what these AI systems can and cannot do, and where they fail. Then move to your own Scrum Master work, next to team enablement, then organizational adoption, and finish with risks, ethics and responsible use - the last area is where most judgement-based questions concentrate.

Two habits: treating AI output as an authoritative answer rather than a draft to inspect, and treating AI adoption as a tooling rollout rather than a change in how the team inspects and adapts. Questions reward empiricism, transparency, and human accountability for decisions over enthusiasm for automation.

Use them as a diagnostic, not a script. Answer, then justify each choice against Scrum's empirical foundations and the responsible-use concerns raised in the stem. If you cannot explain why a distractor is wrong, you have found a gap worth revisiting before the real assessment.