As artificial intelligence becomes increasingly integrated into business operations, understanding and managing its risks is more critical than ever. This course provides a practical introduction to the NIST AI Risk Management Framework (RMF)—a foundational tool for organizations looking to deploy AI systems responsibly and securely.
Led by industry expert Lyron Andrews, you’ll explore the six core elements of the NIST AI RMF and learn how to apply them effectively across diverse enterprise settings. From aligning AI risk mitigation with business goals to fostering a culture of ethical innovation, this course empowers professionals to balance opportunity with accountability.
What You’ll Learn:
Gain a clear understanding of the NIST AI RMF structure and objectives
Apply the six key functions of the framework: Govern, Map, Measure, Manage, Validate, and Improve
Develop internal processes for AI oversight and continuous risk evaluation
Align AI adoption with organizational values, compliance, and trust standards
Build a repeatable strategy for responsible, scalable AI deployment
Who Should Enroll:
Ideal for compliance leaders, risk officers, IT managers, and business decision-makers involved in the design, implementation, or oversight of AI systems. No technical AI background required—this course bridges the gap between policy and practice.
By the end of the course, you'll be equipped to implement a proactive AI risk management framework tailored to your organization’s needs—ensuring innovation without compromising ethics, privacy, or security.