AI Risk Management: Analyze, Evaluate, and Register AI Systems

As artificial intelligence becomes central to modern business, understanding and mitigating its unique risks is critical for any successful deployment. This course provides a structured approach to identifying, evaluating, and managing AI-specific vulnerabilities before they impact your organization. You will transition from having a vague awareness of AI challenges to confidently maintaining a professional AI risk register. You will learn to evaluate threats ranging from data bias to modern generative AI vulnerabilities like prompt injection, ensuring your projects remain compliant, ethical, and secure. What you'll learn: - Understand foundational AI risk concepts, terminology, and modern governance frameworks. - Analyze unique AI vulnerabilities, including data privacy concerns, model bias, and generative AI risks. - Evaluate the severity and likelihood of identified risks using qualitative and quantitative assessment methods. - Create and maintain a structured AI risk register to systematically track and mitigate threats. - Apply mitigation strategies to align AI deployments with industry standards and organizational safety. The curriculum begins with core definitions and risk principles before moving into practical techniques for building a risk register. You will read real-world scenarios, explore framework alignments, and practice documenting risk treatments through written exercises. This course is designed for beginners, requiring no prior programming or risk management experience. It is ideal for project managers, business analysts, and anyone looking to enter the field of AI governance. Start building your foundational skills in AI risk management today.