Artificial Intelligence Governance Professional (AIGP) Exam Guide
Validates knowledge of AI governance foundations, relevant laws and frameworks, and governing AI development and deployment.
AIGP tests whether you can apply AI governance principles, laws and frameworks across the AI life cycle. Learn the AI basics and the main laws and standards, then practise layered scenarios where you choose the most accurate or most appropriate governance step.
1Understand the exam
Syllabus
IUnderstanding the foundations of AI governance16–20 questions
I.AUnderstand what AI is and why it needs governance.
I.BEstablish and communicate organizational expectations for AI governance.
I.CEstablish policies and procedures to apply throughout the AI life cycle.
Example scenario: Several teams have started using generative AI tools without approval. What would you put in place first to bring this under governance?
IIUnderstanding how laws, standards and frameworks apply to AI19–23 questions
II.AUnderstand how existing data privacy laws apply to AI.
II.BUnderstand how other types of existing laws apply to AI.
II.CUnderstand the main elements of AI-specific laws.
II.DUnderstand the main industry standards and tools that apply to AI.
Example scenario: A company sells a CV-screening tool to employers in the EU. How would you classify it under the EU AI Act, and what obligations follow for the provider and the employer?
IIIUnderstanding how to govern AI development21–25 questions
III.AGovern the designing and building of the AI system.
III.BGovern the collection and use of data in training and testing the AI model and system.
III.CGovern the release, monitoring and maintenance of the AI system.
Example scenario: Testing shows a credit model performs worse for one age group. What should happen before release, and what should be documented?
IVUnderstanding how to govern AI deployment and use21–25 questions
IV.AEvaluate key factors and risks relevant to the decision to deploy the AI system.
IV.BPerform key activities to assess the AI system.
IV.CGovern the deployment and use of the AI system.
Example scenario: Your company plans to deploy a vendor’s chatbot to answer customer questions. Which contract terms and monitoring would you require?
A business unit wants to start using a third-party AI tool that screens job applicants. Which step should the governance team require before approval?
A bias and impact assessment of the tool
A faster procurement process
A longer free trial
A new marketing plan for the tool
Show answer
A. An assessment of bias and impact is the governance step that fits a tool affecting people's employment, and the other options do not manage that risk.
Choose every correct answer; the question states how many to select, and there is no partial credit.
CertUp example
Which TWO activities belong in ongoing monitoring of a deployed AI system?
Checking for model or data drift
Rewriting the original project charter
Reviewing incidents and user complaints
Renaming the model each quarter
Show answer
A and C. Drift checks and incident review show whether the system still performs safely; the other two do not tell you how it behaves in use.
Read a short passage describing an organization and its AI use, then answer several questions about it.
CertUp example
A retailer uses a vendor chatbot to answer customers and is considering fine-tuning it on past chat logs. Which question about the logs should the governance lead ask first?
Does the retailer have a lawful basis to reuse customer chats for training?
Which colour theme should the chatbot use?
How many staff will attend the launch event?
Can the vendor lower its price?
Show answer
A. Reusing personal data for a new purpose needs a lawful basis, so this comes before any technical work on fine-tuning.
Eligibility and booking
Buy the exam from the IAPP store, then schedule it with Pearson VUE from your MyIAPP account. Take it within one year of purchase.
Read the Body of Knowledge and try a few practice questions to see whether the AI concepts or the legal frameworks are newer to you.
Most candidates spend 30–70 hours. Plan for the low end if you already work with AI or hold an IAPP certification; plan for the high end if both AI concepts and privacy or AI law are new to you.
1Understand the examRead the syllabus and format, check you’re eligible and pick a target date.3 h
3Learn the core conceptsWork through one main course or book, topic by topic.29 h
4Practice with mock examsTake timed practice tests and review every mistake.15 h
5Prepare for exam dayBook the exam and check the ID and delivery rules.3 h
3Learn the core concepts
Choose one main course or study guide that covers Body of Knowledge v2.1, and read the main frameworks directly.
Do not skip the AI basics. Know model types, the development life cycle and common failure modes well enough to judge which governance step fits a scenario.
4Practice with mock exams
Use practice questions to find weak domains and get used to the question style. Review why the distractors are wrong, not just which answer is right.
A July 2026 passer scored 85% on IAPP’s practice exam and over 90% on third-party tests, then found the real exam trickier: more layered scenarios, more MOST/LEAST accurate questions and plausible distractors. Another candidate replied that they had the same experience.
A candidate with several IAPP certifications found AIGP comparable to CIPP and CIPM, but said you need the AI foundations as well as governance. Their tip for close calls: favour governance over speed or profit.