Are you preparing for the IAPP AIGP (AI Governance Professional) certification exam?This course gives you 600 realistic practice questions across 6 full-length practice tests, each mirroring the official AIGP exam format: 100 questions, a mix of multiple-choice and multi-select, covering all 4 domains and 13 competencies from the AIGP Body of Knowledge (BoK) v2.1 (effective February 2026).Every question comes with a detailed explanation of why the correct answer is right and why the other options are wrong, so you learn from every attempt, not just test yourself.What is included:6 full practice tests (100 questions each)600 unique questions totalBoth multiple-choice and multi-select questions (matching the real exam format)Detailed explanations for every single answerDomain-weighted distribution matching the official AIGP exam blueprintQuestions are aligned to the official AIGP exam domains:Domain I : Understanding the foundations of AI governance (21%): Responsible AI principles (fairness, safety, transparency, accountability), organizational readiness, cross-functional collaboration, and AI lifecycle policiesDomain II : Understanding how laws, standards and frameworks apply to AI (25%): EU AI Act, South Korean AI Basic Law, data privacy laws, IP and nondiscrimination laws, NIST AI RMF, ISO 42001, ISO 22989, and OECD AI principlesDomain III : Understanding how to govern AI development (27%): AI system design, impact assessments, data governance, model training and testing, release readiness, continuous monitoring, and incident managementDomain IV : Understanding how to govern AI deployment and use (27%): Deployment risk evaluation, vendor and licens
What you'll learn
gain familiarity with AI governance frameworks
understand the application of laws and standards to AI
learn to evaluate risks associated with AI deployment
enhance skills in AI system design and data governance
Course objectives
prepare effectively for the IAPP AIGP certification exam
master the content from the AIGP Body of Knowledge (BoK)
develop a comprehensive understanding of AI governance principles