Pass the IAPP AIGP Exam. Master AI Ethics, Risk Management, EU AI Act, Frameworks and Responsible AI Governance for 2026
What you'll learn
✓ Master AI Foundations: Understand the technical stack, compute power, and the shift from deterministic to probabilistic AI systems for governance
✓ Navigate Global AI Laws: Gain expert knowledge of the EU AI Act, GDPR Article 22, and emerging regulatory trends in the US, China, and beyond.
✓ Implement Industry Frameworks: Learn to operationalize the NIST AI RMF 1.0 and ISO/IEC 42001 standards to build a trustworthy AI management system.
✓ Govern the AI Lifecycle: Manage the "Design to Retirement" process, including data sourcing, model selection, and rigorous testing protocols (TEVV)..
✓ Mitigate AI-Specific Risks: Identify and counter threats like prompt injection, data poisoning, model drift, and algorithmic bias in production..
✓ Apply Technical Oversight: Execute Red Teaming, RAG oversight, and use explainability tools like SHAP and LIME to ensure model transparency.
✓ Lead Organizational Strategy: Establish an AI Governance Committee, draft Acceptable Use Policies, and manage "Shadow AI" adoption within the enterprise.
✓ Pass the AIGP Exam: Master the IAPP Body of Knowledge with scenario-based practice exams and high-yield topic reviews for first-attempt success
Requirements
● No prior coding or data science experience required: We break down the technical "AI Stack" (from GPUs to Neural Networks) in plain English so you can govern technology you didn't build.
● Basic familiarity with Privacy or Risk concepts: While not mandatory, a basic understanding of concepts like GDPR or general corporate compliance will help you progress faster.
● No paid software needed: All frameworks discussed (NIST AI RMF, ISO/IEC 42001, OECD Principles) are accessible via the public domain; we provide the implementation guides.
● Preparation for IAPP Certification: If you intend to sit for the official AIGP exam, having the IAPP's official Body of Knowledge (BoK) is recommended, though this course covers all its core domains in depth.
Description
AIGP: AI Governance Professional – Complete Implementation & Certification Guide
Step into the role of a certified leader in the most critical field of the modern tech era. This comprehensive masterclass is the definitive roadmap to mastering the IAPP Artificial Intelligence Governance Professional (AIGP) Body of Knowledge. Designed for the 2026 landscape, this course bridges the gap between the technical "wizardry" of data science and the grounded reality of law, ethics, and corporate strategy.
What You Will Learn
· Master AI Technical Foundations: Gain a deep understanding of the AI technical stack, including the role of GPUs, the difference between deterministic and probabilistic systems, and the evolution of neural networks.
· Navigate Global Regulations: Get a line-by-line breakdown of the EU AI Act's risk-based approach, prohibited practices, and high-risk system requirements.
· Implement Industry Frameworks: Learn how to operationalize the NIST AI RMF 1.0 (Govern, Map, Measure, Manage) and ISO/IEC 42001 standards for AI Management Systems.
· Govern the AI Lifecycle: Oversight of the entire lifecycle from design to retirement, covering data sourcing, model selection, and Retrieval-Augmented Generation (RAG).
· Mitigate Advanced Risks: Strategies to handle AI-specific threats like prompt injection, model drift, and algorithmic bias while implementing safety "kill switches".
· Lead Organizational Strategy: Learn to establish an AI Governance Committee (AIGC), manage "Shadow AI," and bridge the AI skills gap.
Who this course is for
■ Data Scientists & AI Engineers: Technical builders who want to move into leadership roles by mastering the ethical, social, and legal guardrails of the systems they develop.
■ IAPP AIGP Certification Candidates: Anyone actively preparing for the official exam who needs a practical, comprehensive roadmap to master all eight domains of the Body of Knowledge.