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IAPP AIGP Practice Exams: AI Governance Professional 2026

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Exam-style questions with full explanations for the AIGP: AI regulation, risk, lifecycle governance and deployment
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What you'll learn

  • Pass the AIGP exam using original questions written to the current published Body of Knowledge, including the latest revision
  • Explain the foundations of AI governance: what AI is, why it needs governing, and the principles and pillars a programme rests on
  • Navigate the global regulatory landscape, including risk-tiered frameworks, obligations by actor role, penalties and cross-border considerations
  • Govern the AI development lifecycle — data, training, testing, documentation, human oversight and conformity evidence
  • Govern deployment and ongoing use: monitoring, incident response, change management, vendor and procurement controls
  • Conduct and interpret risk and impact assessments, and build risk registers a regulator would accept
  • Address agentic AI and other newly in-scope developments that older study material does not cover
  • Translate between legal obligation and engineering practice, which is where this exam separates candidates who have only one of the two
This course includes:
300 questions on-demand video
0 articles
0 downloadable resources
0 lessons
Full lifetime access
Access on mobile and TV
Certificate of completion
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Course content

Requirements

  • No prior certification or technical background is required
  • A download of the current Body of Knowledge, which the IAPP publishes free
  • Some professional exposure to governance, risk, compliance, privacy or AI development will make preparation considerably faster
  • Willingness to read primary regulatory text rather than summaries
  • No software purchase needed — every test runs in your browser

Description

Pass the AIGP exam on your first attempt.

The AIGP has become the leading credential for lawyers, engineers, compliance officers and risk professionals establishing AI governance programmes — and it is one of the few certifications where demand genuinely outstrips the supply of certified people. Most organisations now have AI governance work underway; far fewer have anyone dedicated to it. That gap is the opportunity.

Check your study material’s version before you begin. The Body of Knowledge was updated effective February 2026, and the domain structure was reorganised at the preceding revision. Most guidance still circulating online describes the older seven-domain layout, and the current update formally brought agentic AI into scope alongside newly passed AI regulations. If your resources do not reflect the current version, you are preparing for an exam that no longer exists. This course targets the current Body of Knowledge.

What makes the AIGP genuinely difficult is that it is not a law exam or a technical exam — it sits between them. You need to know what the major AI regulations require, how a model actually gets built and deployed, and how to translate one into the other as policy, documentation, controls and oversight. Lawyers arrive strong on regulation and weak on lifecycle; engineers arrive the reverse. Both lose points in the middle.

What you get

  • Full-length practice tests that mirror the structure, difficulty and pacing of the live exam

  • A detailed explanation on every single question — every option addressed individually, which matters here because the wrong answers are usually defensible governance positions that fail against a specific requirement

  • Coverage across all four current domains: the foundations of AI governance, the legal and regulatory landscape, governing the AI development lifecycle, and governing deployment and ongoing use

  • Current regulatory content, including recently passed AI legislation and the agentic AI material added in the latest revision

  • Exhibit-based questions with the artifacts governance professionals actually work from: risk pyramids, penalty tiers, RACI matrices, risk registers, heat maps, impact assessment dimensions, conformity documentation, vendor lifecycle charts and contract checklists

  • Multi-select questions included, matching the live format

  • Scenario questions across sectors — healthcare, finance, employment, public services — since the exam expects sector-aware judgement rather than generic principles

  • Kept current with the published Body of Knowledge, which the IAPP reviews on a regular cycle

  • Unlimited retakes, randomized question order, mobile-friendly, lifetime access

How to use this course

Sit the first test cold to find your baseline. Expect an uneven result along the line described above — regulation versus lifecycle — and spend your time on the weaker side. Read every explanation, including on correct answers, because on a governance exam several options are usually reasonable and only one satisfies the stated obligation. Where the regulatory material feels abstract, read the actual text of the major frameworks rather than summaries of them; the exam rewards people who know what a provision requires, not what a blog said about it.

Worth knowing: the AIGP covers the full governance arc rather than a single standard, which distinguishes it from credentials built around one framework or the audit function specifically. It requires ongoing maintenance to keep active, so factor that in.

Before you enroll

No technical background is required, and no prior IAPP certification is needed. This is a practice bank for testing and consolidating knowledge, so pair it with the Body of Knowledge and a learning resource if the field is new to you. Every question here is original and written from the current published Body of Knowledge. These are not brain dumps. This course is independent and is not affiliated with, endorsed by, or sponsored by the IAPP. AIGP is a trademark of its respective owner. Nothing in this course constitutes legal advice.

Who this course is for:

  • Anyone preparing for the IAPP AIGP certification exam
  • Privacy and data protection professionals expanding into AI governance
  • Lawyers and compliance officers advising on AI regulation and liability
  • Risk, audit and GRC practitioners building AI oversight into existing programmes
  • Product managers, engineers and data scientists who need to build governance into what they ship
  • Consultants establishing AI governance programmes for clients
  • Candidates whose study material predates the current Body of Knowledge and needs updating
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