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IAPP AIGP (Artificial Intelligence Governance Professional) Fact Sheet

Exam Overview

Exam Code: AIGP Exam Name: AIGP - Artificial Intelligence Governance Professional (the body of knowledge titles it "Certified AI Governance Professional") Level: Professional (governance, not engineering) Duration: 2.75 hours Questions: 100 multiple-choice, some scenario-based Passing Score: 300 on a 100-500 scale (IAPP: this does not equal 60%; no scaling, no question weighting, no section-level requirement) Cost: Not verified. IAPP's pages that I could read state no exam price (checked 2026-11-07); see the IAPP site Valid For: 2-year certification term; 20 hours of continuing professional education (CPE) per term plus a maintenance fee (IAPP states USD 250 per term, or IAPP membership at USD 295 a year; checked 2026-11-07) Delivery: Not verified on the pages read Languages: Not verified on the pages read Prerequisites: None listed. IAPP recommends at least 30 hours of study and says the exam must be scheduled and completed within one year of purchase Body of knowledge: Version 2.1, effective 2 February 2026, supersedes 2.0.1, approved 9 September 2025

Verify before booking. Read from IAPP's pages on 2026-11-07. The exam page, FAQ and body of knowledge are the authority. The scored versus unscored question split was not stated on the pages I could read, so it is not given here.

📖 IAPP AIGP certification page - name, purpose and links to the blueprint and study guide 📖 AIGP Body of Knowledge and Exam Blueprint v2.1 - the authoritative outline with question ranges per domain 📖 IAPP certification FAQs - exam length, question count, scoring method, maintenance fee 📖 IAPP CPE Policy - two-year term, 20 hours, carry-over of up to 10 credits (policy effective 7 April 2026)

Who it is for

Anyone responsible for adopting or managing AI in an organization: compliance and privacy officers, risk and audit staff, product and legal teams, and security leaders who now own AI risk. The BoK says it "concentrates on AI governance" and does not require you to build models.

Exam Domains

Four domains. The blueprint gives a minimum and maximum number of questions per domain, not percentages.

Domain Questions (min-max of 100) Notes
I. Understanding the foundations of AI governance 16-20 01
II. Understanding how laws, standards and frameworks apply to AI 19-23 02
III. Understanding how to govern AI development 21-25 03
IV. Understanding how to govern AI deployment and use 21-25 04

Domain I (16-20 questions)

I.A what AI is and why it needs governance (4-6); I.B establish and communicate organizational expectations (5-7); I.C policies and procedures across the AI life cycle (6-8).

Domain II (19-23 questions)

II.A existing data privacy laws applied to AI (4-6); II.B other existing laws (4-6); II.C main elements of AI-specific laws (6-8); II.D industry standards and tools: OECD principles, NIST AI RMF and Playbook, ISO 22989, 42001 and 42005 (3-5).

Domain III (21-25 questions)

III.A govern designing and building (6-8); III.B govern data in training and testing (6-8); III.C govern release, monitoring and maintenance (8-10).

Domain IV (21-25 questions)

IV.A evaluate factors and risks in the decision to deploy (6-8); IV.B key activities to assess the AI system (5-7); IV.C govern deployment and use (9-11).