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IAPP AIGP Practice Tests 2026 | AI Governance Professional

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350+ AIGP Exam Practice Questions mapped precisely to the IAPP Body of Knowledge v2.1 (Effective 2026/2027)
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Created by Ashvin Parmar
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What you'll learn

  • Prepare for the IAPP Artificial Intelligence Governance Professional (AIGP) certification exam with 5 structured practice tests.
  • Understand AI governance foundations, responsible AI principles, ethical considerations and AI-related risks.
  • Strengthen knowledge of AI laws, the EU AI Act, NIST AI RMF, ISO standards and OECD AI Principles.
  • Evaluate AI development practices, including data governance, risk assessments, bias detection, testing and explainability.
  • Understand AI deployment governance, human oversight, vendor risk management and continuous monitoring.
  • Assess knowledge across all four AIGP exam domains through a comprehensive final challenge test.
  • Identify knowledge gaps and improve understanding of AI governance, regulatory compliance and responsible AI practices.
This course includes:
358 questions on-demand video
0 articles
0 downloadable resources
0 lessons
Full lifetime access
Access on mobile and TV
Certificate of completion
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Course content

Requirements

  • No programming or coding experience is required.
  • Basic familiarity with artificial intelligence, technology or business processes is helpful.
  • A general understanding of privacy, compliance, risk management or regulatory concepts is beneficial but not mandatory.
  • Familiarity with the IAPP AIGP certification syllabus is recommended.
  • An interest in AI governance, responsible AI and AI regulatory frameworks will be helpful.

Description

Are you preparing for the IAPP Artificial Intelligence Governance Professional (AIGP) certification exam? This course provides five structured practice tests to help you assess your knowledge of AI governance, understand important regulatory requirements and strengthen your exam preparation.

The practice tests are organized around the four domains of the IAPP AIGP Body of Knowledge v2.1. Each of the first four tests focuses on a specific exam domain, allowing you to evaluate your understanding of individual subjects before attempting the comprehensive final challenge test.

What This Course Covers

Practice Test 1: Foundations of AI Governance

Test your knowledge of artificial intelligence concepts, AI systems, responsible AI principles, ethical considerations, AI risks and societal impacts. Explore AI governance stakeholders, organizational responsibilities, governance policies and oversight throughout the AI lifecycle.

Practice Test 2: AI Laws, Standards and Frameworks

Strengthen your understanding of regulations and legal requirements that apply to AI systems. Topics include the EU AI Act, data privacy laws, intellectual property, non-discrimination, consumer protection, product liability, NIST AI Risk Management Framework (AI RMF), OECD AI Principles and ISO/IEC AI standards.

Practice Test 3: Governing AI Development

Evaluate your knowledge of responsible AI development, including AI impact assessments, risk evaluation, data governance, data quality, data lineage, model training, testing, bias detection, explainability, security, technical documentation and AI system monitoring.

Practice Test 4: Governing AI Deployment and Use

Assess your understanding of AI deployment decisions, model selection, cloud and on-premises deployment, generative AI, Retrieval-Augmented Generation (RAG), agentic AI, vendor risk management, human oversight, continuous monitoring, incident management and operational governance.

Practice Test 5: Full-Length Final Challenge Exam

Bring all four AIGP domains together in a comprehensive mixed-domain practice examination. Test your ability to connect AI governance principles, regulatory requirements, development controls and deployment responsibilities across practical governance scenarios.

Key Topics Included

  • AI governance, ethics and responsible AI principles

  • Artificial intelligence systems, risks and impacts

  • EU AI Act and global AI regulatory requirements

  • GDPR and privacy considerations for AI

  • NIST AI Risk Management Framework

  • ISO/IEC 42001, 42005 and 22989

  • OECD AI Principles

  • AI risk and impact assessments

  • Data governance, privacy and intellectual property

  • AI model development, training and testing

  • Bias detection, fairness and explainability

  • Generative AI, RAG and agentic AI governance

  • AI vendor risk and third-party management

  • Human oversight, monitoring and incident management

Who Should Take This Course?

This course is suitable for professionals preparing for the IAPP AIGP certification, including:

  • Privacy and data protection professionals.

  • Legal, compliance and regulatory professionals.

  • AI governance and responsible AI practitioners.

  • Risk management and internal audit professionals.

  • Technology leaders, product managers and consultants.

  • Professionals involved in AI development, deployment and oversight.

Whether you work in privacy, compliance, technology, risk management or AI governance, these practice tests provide an opportunity to assess your understanding of the subjects covered in the AIGP examination.

How to Use These Practice Tests

Start with the domain-specific tests to assess your understanding of individual AIGP topics. Review your results, identify areas that need further study and revisit the relevant concepts in the official IAPP study materials.

Once you have completed the four domain tests, attempt Practice Test 5 as your final mixed-domain challenge.

Use the results to identify knowledge gaps and determine which areas require additional revision before taking the certification exam.

Prepare systematically, strengthen your AI governance knowledge and evaluate your AIGP exam readiness with five focused practice tests.

Note: This is an independent exam preparation resource. It is not sponsored by, affiliated with or endorsed by the International Association of Privacy Professionals (IAPP). IAPP and AIGP are used solely to identify the certification examination covered by this course.

Who this course is for:

  • Individuals preparing for the IAPP Artificial Intelligence Governance Professional (AIGP) certification exam.
  • Privacy and data protection professionals expanding their knowledge of AI governance.
  • Legal, compliance and regulatory professionals working with AI-related requirements.
  • AI governance, ethics and responsible AI practitioners.
  • Risk management, internal audit and cybersecurity professionals.
  • Technology leaders, product managers and consultants involved in AI adoption and oversight.
  • Professionals interested in understanding AI laws, regulatory frameworks and responsible AI practices.
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