AI Governance and Privacy Professional Certification (AIGP)

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 the knowledge needed to govern AI systems responsibly, manage privacy risks, and prepare for AIGP certification. You will learn how AI systems work, why they create new accountability challenges, and how governance frameworks support trustworthy AI. The course begins with the AIGP exam structure, core AI concepts, machine learning foundations, OECD classification, socio-technical systems, data governance, intellectual property, and third-party AI risk. You will then explore AI harms, responsible AI principles, privacy law requirements, automated decision-making, organizational governance models, stakeholder engagement, risk assessment, and development lifecycle controls. Later modules focus on deployment governance, monitoring, model drift, incident response, agentic AI, vendor oversight, the EU AI Act, global AI laws, GDPR, DPIAs, ISO standards, non-discrimination, consumer protection, and product liability. This intermediate course is ideal for privacy, compliance, legal, risk, security, product, and technology professionals. Basic familiarity with AI, privacy, or governance concepts is helpful. By the end of the course, you will be able to evaluate AI risks, apply responsible AI principles, support governance programs, interpret major AI regulations, and prepare for AIGP-style exam questions.

Course objectives

• gain knowledge on AI systems and governance frameworks
• understand privacy law requirements
• explore the impact of AI harms
• develop skills for deployment governance and regulatory compliance