Understanding and Implementing the NIST AI Risk Management Framework (RMF)
 
Artificial intelligence is transforming how organizations operate—but with innovation comes new risks. As AI systems become more deeply embedded in business processes, leaders must ensure these technologies are used safely, responsibly, and in alignment with organizational goals. The NIST AI Risk Management Framework (RMF) provides a structured, standards-based approach for identifying, assessing, and mitigating AI-related risks while promoting trustworthy and ethical AI development.
 
This course offers a clear, practical introduction to the NIST AI RMF and walks you through how to apply its principles across the lifecycle of AI systems. You’ll explore the framework’s core functions—Govern, Map, Measure, and Manage—along with the essential practices needed to build responsible AI into organizational culture, processes, and systems.
 
Through real-world examples, practical explanations, and step-by-step guidance, you’ll learn how to evaluate AI risks, design appropriate safeguards, and implement oversight mechanisms that ensure AI delivers value without compromising security, ethics, fairness, or compliance.
 
By the end of this course, you’ll be equipped to adopt and operationalize the NIST AI RMF within your organization—helping your team confidently develop, deploy, and maintain AI systems that are transparent, accountable, and aligned with best-practice governance standards.