Your study plan — and how this academy maps to the exam
Lesson 5 of 5 in The AIGP Credential: Exam Anatomy, Logistics, and Study Strategy.
Start with the arithmetic. Subtract the break and you have 150 minutes for 100 questions — 90 seconds each. Recall items should take 20–30 seconds; that surplus is what funds the three-minute scenario items. The pacing discipline to build before exam day: answer or flag within 90 seconds, never stall, and bank the flag-and-return pass for the final twenty minutes.
Then weight your calendar the way the blueprint weights the exam. A workable eight-week plan for someone studying 6–8 hours a week: two weeks on Domains III and IV material (the 42–50-question half), two weeks on Domain II law and frameworks, one week on Domain I, then three weeks of mixed practice — full-length timed sets, wrong-answer review, and spaced-repetition flashcards on the vocabulary the exam loves: conformity assessment, model card, red-teaming, post-market monitoring, RAG, systemic risk (GPAI), deployer vs provider.
Wrong-answer review is where the points are. Every practice miss is one of three failures — a fact you never learned, a rule you misapplied, or a stem you misread — and each has a different fix (flashcard, re-study the module, slow down). Label every miss; the labels tell you what to do next.
| AIGP domain | Questions | Study these Academy modules | Then drill with |
|---|---|---|---|
I — Foundations of AI governance | 16–20 | Foundations: What Is AI · Harms and Risks · Ethics and Trustworthy AI · Who’s Who · How Governance Works · AI Lifecycle | AIGP Domains I–II Recap · Is It AI? and Lifecycle simulators |
II — Laws, standards and frameworks | 19–23 | EU AI Act (all modules, especially At a Glance, High-Risk Classification, Transparency and GPAI, Governance and Enforcement) · NIST/US: AI RMF, State Laws, Sectoral Enforcement · ISO: Standards Landscape, AIMS 42001 · Global: Comparing Regimes, Soft Law · Privacy Foundations | AIGP Domains I–II Recap · Risk Classifier and Rules Wizard simulators |
III — Governing AI development | 21–25 | Foundations: AI Lifecycle · Operations: Impact Assessments, Data and Documentation, Testing and Evaluation · ISO: Risk and Impact · NIST/US: GenAI and Bias | Bias Audit Lab and Fairness Lab simulators |
IV — Governing AI deployment and use | 21–25 | Operations: Inventory and Intake, Operating Model, Monitoring and Incidents · EU AI Act: Value Chain · ISO: Annex A Controls, Board Governance | Incident Tabletop and Oversight Hot-Seat simulators |
Should you book the exam yet?
Interactive decision tree — outcomes:
- Book it
Coverage, accuracy, and pacing are all in place. Book 2–4 weeks out, keep doing short mixed drills to stay sharp, and stop learning new material in the final week — consolidation beats novelty from here.
- Close the operational gap first
Domains III and IV supply up to half the exam. Work through the Operations modules (impact assessments, testing, monitoring, vendor risk) before any booking decision — this is the single most common coverage gap.
- Drill the weak domains
There are no per-domain minimums, but a domain scoring far below the others drags the scaled score under 300. Spend 1–2 weeks on targeted question drilling in your weakest two competencies, then re-test.
- Run a full mock first
Per-topic accuracy does not predict full-exam performance — fatigue and pacing change everything. Take at least one 100-question timed mock before deciding.
- Train pacing, not knowledge
You know enough; you answer too slowly. Run timed 20-question sprints at 90 seconds per item, practising the flag-and-move-on reflex until it is automatic. Then re-run a full mock.
Tool: AIGP Exam Simulator — Run a blueprint-weighted mock: timed questions sampled across all four domains, scored with a domain-level breakdown like the real report.
Interactive checkpoint quiz (1 questions) — open this page in a browser to take it.