AIGP.AE1
IAPP® Artificial Intelligence Governance Professional Study Guide
Master AI governance with our comprehensive IAPP AIGP certification training course.
- Practice in 11 Hands-On Labs — nothing to install
- 17 Interactive Lessons and 83 topics mapped to the official exam objectives
- 405 Practice Test Questions
Expert Self-paced · 1 year access
11 Hands-On LiveLabs
Practice real IT tasks in guided environments.
- Real environments
- Auto-graded
- No installation
17Interactive Lessons
83Topics
11LiveLab
405Practice Test Questions
104Flashcards
01 / Skills you'll get
What you will be able to do
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No credit card required
This IAPP AIGP certification training course provides a rigorous, technical roadmap for professionals aiming to master AI governance. We bypass fluff, focusing on the 17 core chapters including the EU AI Act, NIST frameworks, and organizational readiness. You will utilize 320 practice quizzes and 104 flashcards to reinforce complex concepts like data lineage and model testing. While this guide is exhaustive, success requires disciplined application of these principles to real-world scenarios. We bridge the gap between theoretical policy and operational deployment, ensuring you are prepared for the 2026 exam objectives. This is the definitive resource for those serious about passing the AIGP exam on their first attempt.
- AI Governance Strategy: Mastery of organizational readiness, cross-functional collaboration, and tailoring governance frameworks to specific business contexts.
- Regulatory Compliance: Expert understanding of the EU AI Act, sectoral laws, intellectual property, and non-discrimination requirements in AI systems.
- Risk Management Frameworks: Proficiency in applying NIST AI RMF, OECD principles, and ISO standards to identify and mitigate systemic AI risks.
- Operational Lifecycle Management: Technical competence in documenting AI lifecycles, managing data provenance, and executing continuous monitoring post-deployment.
Course Highlights
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17 Structured Lessons Comprehensive coverage of core course objectives
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11 Hands-On LiveLabs Interactive guided scenarios with instant evaluation
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405 Practice Questions Assessment tests with detailed answer rationales
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1 Year Full Access Self-paced learning accessible anytime on all devices
02 / Lessons & labs
See exactly what you will learn and practice
Lessons
17 Interactive Lessons · 83 topics01 Introduction 5 topics +
- Certification Requirements
- The AIGP Exam
- After the AIGP Exam
- Study Guide Elements
- AIGP Exam Objectives
02 AI and AI Governance 6 topics · 2 LiveLab +
- The Types of AI
- Risks and Harms Posed by AI
- Characteristics of AI Requiring Governance
- Principles of Responsible AI
- Summary
- Exam Essentials
2 LiveLab in this lesson — see the labs panel →
03 Organizational Readiness 7 topics · 2 LiveLab +
- Roles and Responsibilities for AI Governance Stakeholders
- Cross-functional Collaboration in the AI Governance Program
- Training and Awareness Program on AI Terminology, Strategy, and Governance
- Tailoring AI Governance to Organizational Context
- Developers, Deployers, and Users in AI Governance
- Summary
- Exam Essentials
2 LiveLab in this lesson — see the labs panel →
04 Updating Policies for AI 5 topics · 1 LiveLab +
- Oversight in the Age of Autonomous Decision-making
- Evaluate and Update Existing Data Privacy and Security Policies for AI
- Policies to Manage Third-party Risk
- Summary
- Exam Essentials
1 LiveLab in this lesson — see the labs panel →
05 Privacy and Data Protection Law 7 topics +
- Notice, Choice, Consent, and Purpose Limitation in AI
- Data Minimization and Privacy by Design in AI
- Practical Implications and Governance
- Data Controller Obligations in the AI Context
- Understanding the Requirements That Apply to Sensitive or Special Categories of Data
- Summary
- Exam Essentials
06 Sectoral and Civil Laws 6 topics · 1 LiveLab +
- Intellectual Property Laws and AI
- Non-discrimination Laws and AI
- How Consumer Protection Laws Apply to AI
- How Product Liability Laws Apply to AI
- Summary
- Exam Essentials
1 LiveLab in this lesson — see the labs panel →
07 The EU AI Act 8 topics · 1 LiveLab +
- Risk Classification
- Classification Requirements
- Requirements for General-purpose AI
- Enforcement and Penalties
- Organizational Context
- EU AI Act Implementation
- Summary
- Exam Essentials
1 LiveLab in this lesson — see the labs panel →
08 AI Standards and Frameworks 7 topics · 1 LiveLab +
- OECD Principles
- NIST AI Risk Management Framework (AI RMF)
- NIST ARIA: Layered AI Model Evaluation
- ISO Standards
- Other AI-related Standards
- Summary
- Exam Essentials
1 LiveLab in this lesson — see the labs panel →
09 AI System Design 8 topics +
- Documenting the Lifecycle
- Business Context and Use Cases
- Impact Assessments
- AI System Design Considerations
- Identifying and Managing Design Risks
- Proprietary Model Considerations
- Summary
- Exam Essentials
10 Data Governance and Model Training 6 topics +
- Data Governance
- Data Lineage and Provenance
- AI System Testing
- Identifying and Managing Testing Risks
- Summary
- Exam Essentials
11 Deployment and Monitoring 5 topics +
- Pre-release Readiness
- Deployment Considerations
- Continuous Monitoring
- Summary
- Exam Essentials
12 AI Risk Management and Assurance 5 topics · 1 LiveLab +
- AI Risk Management and Forecasting
- AI System Audits and Testing
- Incident Management and Disclosures
- Summary
- Exam Essentials
1 LiveLab in this lesson — see the labs panel →
13 Ongoing AI Operations 5 topics · 2 LiveLab +
- Managing Business Records
- External Communications
- AI System Retirement
- Summary
- Exam Essentials
2 LiveLab in this lesson — see the labs panel →
14 Appendix: February 2026 Supplement to IAPP AIGP Study Guide 3 topics +
- Executive Summary
- Introduction
- Lesson 2: Organizational Readiness
15 FlashCards +
16 Test1 +
17 Test2 +
Hands-On Labs Our edge
11 LiveLabs- Evaluating AI Explainability with SHAP
- Assessing AI Risks and Responsible AI Principles
- Building an AI Governance Responsibility Matrix
- Performing an AI Governance Gap Assessment
- Assessing Third-Party AI and Vendor Risk
- Evaluating Legal and Civil Risks in AI Use Cases
- Classifying AI Systems Under the EU AI Act
- Applying the NIST AI Risk Management Framework
- Investigating and Responding to an AI Incident
- Capstone: Governing an AI System Across Its Lifecycle
- Retiring an AI System Responsibly
Labs run in your browser — nothing to install.
03 / FAQs
Questions before you start
Is the IAPP AIGP certification worth it for my career?+
As AI regulation intensifies, the AIGP credential validates your ability to manage legal and ethical risks, making you indispensable to organizations deploying AI.
How does this study guide differ from official IAPP materials?+
This guide synthesizes the 17 chapters into actionable study paths, providing 320 practice questions and 104 flashcards to simulate actual exam conditions.
What is the best way to study for the AIGP exam?+
Focus on the intersection of policy and technical implementation. Use our practice tests to identify knowledge gaps in the EU AI Act and NIST frameworks.
Does this course cover the 2026 exam updates?+
Yes, our guide includes the February 2026 supplement, ensuring you are prepared for the latest organizational readiness and governance requirements.
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Prepare for the IAPP AIGP Exam
Build practical AI governance skills and prepare confidently for the AIGP certification exam.
- 1 year of full access
- 11 LiveLab included
- Certificate of completion
No credit card required