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
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
· Privacy Professionals & Attorneys: Those looking to transition into AI law and manage liability under the EU AI Act.
· Risk & Compliance Officers: Professionals tasked with auditing AI systems and ensuring algorithmic accountability.
· Data Scientists & Engineers: Technical builders who need to understand the socio-technical impact and ethical constraints of their models.
· C-Suite & Board Members: Executives defining corporate AI strategy, budgeting for governance, and managing brand trust.
Exam Mastery & Certification
This course is meticulously designed to help you pass the IAPP AIGP exam on your first attempt. You will gain access to specialized tactics for decoding scenario-based questions and three full-length practice exams covering all certification domains.
