AIGP Exam Practice Questions – Volume 1 (Chapters 1–6)

Prepare for the AIGP Certification with comprehensive practice questions! This course offers six chapters of meticulously crafted questions designed to mirror the real AIGP exam in style, difficulty, and scope. Each question includes detailed explanations to build your understanding and confidence in AI governance.

This course is a practice exam resource only and is not affiliated with or endorsed by the certification body. Success in these practice questions does not guarantee passing the official AIGP exam.

Master the core AIGP domains, including:

• Governance Frameworks: Understand the fundamentals of AI governance, including risk management, compliance, transparency, and accountability.
• AI Governance Basics: Learn about AI and the necessity of AI governance. Explore requirements around notice, choice, consent, and purpose limitation in AI.
• Data Privacy & AI: Grasp how data minimization, privacy by design, and data controller obligations apply to AI systems. Understand requirements for sensitive data like biometrics.
• Organizational AI Governance: Establish and communicate organizational expectations for AI governance. Define roles and responsibilities for AI governance stakeholders, foster cross-functional collaboration, and develop AI training programs. Learn to tailor AI governance approaches to different company sizes, industries, and risk tolerances.
• AI Lifecycle Policies & Procedures: Develop and implement policies and procedures across the entire AI lifecycle, from use case assessment and risk management to deployment, monitoring, and incident management. Update existing data privacy and security policies for AI and manage third-party risk.
• Legal Landscape of AI: Understand how existing laws impact AI, including intellectual property laws, non-discrimination laws, consumer protection laws, and product liability laws.
• EU AI Act: Gain a thorough understanding of the EU AI Act, including the risk classification framework (prohibited, high-risk, limited-risk, minimal-risk), requirements for each risk category, and the enforcement framework. Learn about requirements for general purpose AI models and differences based on organizational context.

Each chapter features a robust set of questions with in-depth explanations to reinforce your learning.

Note: This is Volume 1. Part 2, covering Chapters 7-13, is available separately.

Course Name: AIGP Exam Practice Questions – Volume 2 (Chapters 7–13)