IAPP Artificial Intelligence Governance Professional (AIGP) Study Guide 2026: Syllabus, Exam Topics & Study Plan -Edureify
๐Ÿ“‹ 2026 Edition  ยท  Updated November 2026

IAPP Artificial Intelligence Governance Professional (AIGP) Study Guide 2026

Complete exam coverage for the IAPP Artificial Intelligence Governance Professional (AIGP): syllabus, domains, key topics, study plan and practical exam preparation strategy.

100
Questions
180 min
Duration
300
Passing score
4
Domains
95%
First-attempt pass rate
47K+
Candidates prepared
4.9โ˜…
Average rating
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Overall readiness (locked)
Understanding the foundations of AI governance
-
Understanding how laws, standards and frameworks apply to AI
-
Understanding how to govern AI development
-
Understanding how to govern AI deployment and use
-
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Exam at a Glance

IAPP Artificial Intelligence Governance Professional (AIGP) Exam Overview

Key facts about the IAPP Artificial Intelligence Governance Professional (AIGP) exam structure, format and scoring.

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iapp-aigp
Exam code
๐Ÿ“
100 questions
Total questions
โฑ
180 minutes
Duration
๐ŸŽฏ
300
Passing score
๐Ÿ“‹
4 domains
Exam domains
๐Ÿ†
Certification
Credential type
โ„น๏ธ
Scoring method: Results are reported on a scaled score of 100 to 500, and 300 or higher passes. Of the 100 questions, 85 are scored and 15 are unscored pretest items that are not identified; unanswered questions count as incorrect and there is no penalty for wrong answers.. The exam may include unscored pilot questions - treat every question seriously.
Focus Areas

What should you study for the IAPP Artificial Intelligence Governance Professional (AIGP) exam?

Start with the domains that make up the IAPP Artificial Intelligence Governance Professional (AIGP) exam. Use the detailed syllabus below to work through the individual topics.

โš ๏ธ
Common mistake: Candidates often memorise terminology but struggle with scenario-based questions. Focus on when to use what, not just what exists.
🔐
Understanding the foundations of AI governance (21%)
What AI is and why it needs governance, organizational expectations and policies across the AI life cycle.
🏗
Understanding how laws, standards and frameworks apply to AI (25%)
Applying privacy and other existing laws, AI-specific laws and industry standards to AI.
⚡
Understanding how to govern AI development (27%)
Governing design and build, training and testing data, and release, monitoring and maintenance of AI systems.
💰
Understanding how to govern AI deployment and use (27%)
Evaluating deployment decisions, performing assessments and governing ongoing deployment and use.
Full Syllabus

IAPP Artificial Intelligence Governance Professional (AIGP) Exam Syllabus and Topics

The IAPP Artificial Intelligence Governance Professional (AIGP) exam is divided into 4 domains. Each domain covers specific skills and topics. Expand a domain to see the detailed syllabus.

AI and Its Risks
AI definitions and types
Risks and harms of AI systems
AI characteristics that require governance
Principles of responsible AI
Organizational Expectations
Roles and responsibilities for AI governance
Cross-functional collaboration
AI training and awareness programs
Developers, providers, deployers and users
Policies Across the Life Cycle
Oversight and accountability policies
Updating privacy, security and IP policies for AI
Third-party risk assessments
AI clauses in contracts
~21 questions
21 marks
21% of exam weight
Existing Laws and AI
Lawful basis, transparency and purpose limitation
Data minimization and privacy by design
Impact assessments and data subject rights
IP, nondiscrimination, consumer protection and product liability
AI-Specific Laws
EU AI Act risk classification tiers
Obligations by role: provider, deployer, importer, distributor
General-purpose AI model requirements
South Korea AI Basic Act
U.S. federal and state AI laws
Standards and Frameworks
OECD AI Principles
NIST AI RMF and Playbook
ISO/IEC 42001 AI management systems
ISO/IEC 22989 and 42005
~25 questions
25 marks
25% of exam weight
Design and Build
Business context and use case definition
Impact assessments
Applying ethical considerations to design
Documenting design decisions
Training and Testing Data
Data rights, quality and fitness for purpose
Data lineage and provenance
Validation, security and bias testing
Documenting training and testing
Release, Monitoring and Maintenance
Release readiness and model cards
Conformity assessments
Continuous monitoring and retraining
Incident management
Public transparency disclosures
~27 questions
27 marks
27% of exam weight
Deployment Decisions
Use case context and workforce readiness
Generative vs. classic and open vs. proprietary models
Cloud, on-premise and edge deployment
Fine-tuning, RAG and agentic architectures
Assessments and Vendor Terms
Impact assessments for deployers
Vendor and licensing agreement risks
Risks of deploying proprietary models
Third-party due diligence
Governing Use
Policies, risk management and user training
Post-market monitoring
Secondary uses and downstream harms
External communication plans
Controls to deactivate or localize an AI system
~27 questions
27 marks
27% of exam weight
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Study Plan

IAPP Artificial Intelligence Governance Professional (AIGP) Structured Study Roadmap

Choose a preparation timeline based on how much time you have available. For a plan based on your actual readiness and weak domains, use the personalised Edureify study experience. Get My Training Plan โ†’

Weeks 1-2
Core Services + Highest-Weighted Domain
Deep-dive into the most heavily tested domain. Spend more time here when its exam weight is significantly higher.
Official exam guideDomain 1 completeCore conceptsPractice questions
Week 3
Domain 2 - Hands-on Practice
Focus on scenario-based study and reinforce concepts through practical application where applicable.
Domain 2Scenario walkthroughsHands-on practicePractice questions
Week 4
Domain 3 - Deeper Concepts
Work through complex concepts and decision scenarios.
Domain 3Scenario drillsPractice examReview
Week 5
Remaining Domains + Weak Area Targeting
Identify your weaker domains and spend focused time closing those gaps.
Remaining domainsDiagnosticTargeted reviewStudy notes
Week 6
Full Simulations + Final Preparation
Use timed simulations to test your preparation and review the reasoning behind incorrect answers.
Full mock examsWrong-answer reviewFinal reviewExam logistics
Exam Strategy

Tips to pass IAPP Artificial Intelligence Governance Professional (AIGP) on your first attempt

Practical advice for applying what you know, managing questions and preparing for exam conditions.

🗓
Weight your study toward governing AI development and deployment - each carries 21-25 of the 85 scored questions.
🔍
Update EU-only notes for BoK v2.1: the laws domain now includes South Korea's AI Basic Act and U.S. federal and state AI laws.
⏭
Practice applying NIST AI RMF, ISO/IEC 42001 and the EU AI Act to scenarios; about a third of items are tied to case studies.
📊
Answer every question - there is no penalty for wrong answers and blanks count as incorrect.
🔁
Pace the three hours so long case-study passages do not crowd out the remaining questions.
Recommended Resources

IAPP Artificial Intelligence Governance Professional (AIGP) Study Resources

Use a focused set of resources alongside the study guide rather than trying to study from everything available.

Official
Official Exam Guide
Start with the authoritative exam objectives and blueprint.
Practice Tests
IAPP Artificial Intelligence Governance Professional (AIGP) Practice Test
Practice questions with explanations and domain-level performance analysis.
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Mock Exam
IAPP Artificial Intelligence Governance Professional (AIGP) Mock Exam
Timed preparation under realistic exam-style conditions.
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Training
IAPP Artificial Intelligence Governance Professional (AIGP) Certification Training
Structured preparation with personalised learning support and adaptive practice.
โ†’ IAPP Artificial Intelligence Governance Professional (AIGP) certification online training
AI Tutor
IAPP Artificial Intelligence Governance Professional (AIGP) AI Tutor
Get help understanding concepts and work on weak areas with AI-powered learning support.
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Reference
IAPP Artificial Intelligence Governance Professional (AIGP) Cheat Sheet
Quick-reference summaries for final revision.
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Diagnostic
IAPP Artificial Intelligence Governance Professional (AIGP) Readiness Test
Assess your preparation and identify weaker exam domains.
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Reviews

What candidates say after passing

FAQ

Frequently asked questions about IAPP Artificial Intelligence Governance Professional (AIGP)

Most candidates with relevant background can structure their preparation over several weeks, depending on their existing knowledge, available study time and exam difficulty. Use the study roadmap above as a starting point and use the readiness diagnostic to identify where you need more preparation.
The guide covers the exam overview, domains, detailed syllabus and topics, study roadmap, exam preparation tips and links to practice, mock, readiness, cheat-sheet, AI Tutor and training resources.
The guide is designed to organize your preparation around the exam syllabus. You should combine it with practice questions and timed simulations so that you can test both your knowledge and your ability to apply it.
Yes. Start with the exam overview and domain breakdown, then work through the detailed topics using the study roadmap. Candidates with less experience may need additional time for foundational concepts.
Take the Edureify readiness diagnostic to assess your preparation and identify the domains where you need to focus more.
Edureify AI can help explain concepts, identify weaker areas from practice performance and support a more personalised preparation process.

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