Understanding and Implementing the NIST AI Risk Management Framework
 
Artificial intelligence is transforming every industry—but with innovation comes new and complex risks. As organizations adopt AI systems to drive efficiency and competitive advantage, building a strong culture of responsible, risk-aware AI development becomes essential. To harness AI’s benefits while minimizing its dangers, businesses need a structured, repeatable approach to AI risk management.
 
This course introduces you to the NIST AI Risk Management Framework (RMF) and guides you through its six core components. Instructor Lyron Andrews breaks down how each element supports safe, secure, and trustworthy AI implementation. You’ll learn how to apply the NIST AI RMF within real business environments to ensure AI systems are used effectively, ethically, and in alignment with organizational needs.
 
By the end of the course, you’ll be equipped with the skills to deploy, monitor, and continuously improve an AI risk management framework at your organization.
 
What You’ll Learn
Apply NIST frameworks to design and implement strong cybersecurity and AI risk management strategies.
Conduct and analyze risk assessments to identify vulnerabilities and recommend appropriate safeguards.
Evaluate and strengthen incident response and recovery plans to ensure organizational resilience.
Develop comprehensive policies and procedures that support business continuity and long-term security improvements.