AI Risk and Compliance for GRC Analysts

As organizations rapidly adopt artificial intelligence, compliance professionals must bridge the gap between traditional governance and the realities of modern engineering. This text-based course guides you through the foundational concepts of AI governance, risk management, and compliance (GRC). You will learn how to interpret emerging AI risk frameworks and translate them into concrete security controls, monitoring strategies, and audit-ready reporting. By understanding how to align compliance goals with technical realities, you will be prepared to collaborate effectively with product and security teams to manage AI-specific risks. What you'll learn: Understand foundational AI terminology, lifecycle stages, and unique risk vectors like data privacy and model bias; Analyze modern AI risk frameworks and map them to standard GRC control sets; Translate abstract AI compliance guidelines into practical, engineering-friendly technical controls; Establish automated evidence collection methods and continuous monitoring expectations for AI systems; Draft audit-ready reports that clearly document AI risks, mitigation steps, and compliance alignment; Collaborate with technical product, security, and platform teams using a structured implementation plan. The course starts with essential definitions and core governance principles before moving into practical control design and reporting strategies. Through clear written explanations and realistic case studies, you will build a reliable roadmap for AI compliance. This course is designed for GRC analysts, IT auditors, and security compliance professionals who are new to AI governance. No prior programming or data science experience is required. Start reading today to confidently navigate the evolving landscape of AI risk and compliance.