IAPP AIGP Complete Training – AI Governance Mastery

About this course

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Build practical AI governance knowledge while preparing for the IAPP AIGP certification. Learn to evaluate AI risks, responsible AI principles, governance controls, and regulatory obligations. Begin with AI foundations, machine learning, governance frameworks, harms, privacy, ethics, and trustworthy AI. Then explore organizational governance, accountability, risk assessment, and the NIST AI Risk Management Framework. Next, follow AI systems across development and deployment, covering impact assessments, data governance, testing, monitoring, model cards, third-party risk, auditing, RAG, and agentic AI. Examine the EU AI Act alongside global laws and ISO standards. This intermediate course is designed for privacy, compliance, risk, legal, technology, and AI governance professionals. Basic familiarity with AI or technology concepts is helpful. By the end of the course, you will be able to evaluate AI risks, design governance controls, interpret major regulatory requirements, manage AI lifecycle risks, and apply responsible AI practices while preparing for the AIGP exam.

Course objectives

• explore principles of responsible AI
• understand organizational roles in AI governance
• examine global AI regulations and standards