Practical Framework Guidance

Learn NIST AI RMF 1.0 in a clear, structured way so you can understand how Artificial Intelligence risk management works in real organizations.

Real-World Use Cases

Go beyond theory with practical examples covering governance, trustworthiness, oversight, measurement, and risk treatment decisions.

Built for Busy Professionals

Move through short, focused lessons designed for leaders, architects, risk, compliance, and governance professionals.

About the course

Mastering NIST AI RMF 1.0: Practical Artificial Intelligence Risk Management is a self-paced course designed to help you understand and apply the NIST Artificial Intelligence Risk Management Framework in a practical and professional way. Instead of presenting the framework as abstract theory, this course walks you through the ideas that matter most in real-world decision-making, including trustworthiness, governance, context, measurement, risk treatment, and organizational adoption. You will learn how the Govern, Map, Measure, and Manage functions work together, how to think about Artificial Intelligence risk across the lifecycle, and how to apply the framework to realistic scenarios such as generative Artificial Intelligence, hiring and screening, third-party procurement, and risk assessment walkthroughs. The course is designed for leaders, architects, risk and compliance professionals, and anyone who needs a structured understanding of Artificial Intelligence governance without unnecessary complexity. If you want a practical course that helps you build confidence in Artificial Intelligence risk management and apply NIST AI RMF 1.0 with clarity, this course is for you.

The syllabus

11 Chapters · 49 Lessons

  1. 1

    CHAPTER 01: Course Introduction

    1. (Included in full purchase)

      1.1: Welcome to the Course

    2. (Included in full purchase)

      1.2: Why Artificial Intelligence Risk Management Matters

    3. (Included in full purchase)

      1.3: How Artificial Intelligence Risk Differs from Traditional Technology Risk

    4. (Included in full purchase)

      1.4: How This Course Is Structured for Busy Professionals

  2. 2

    CHAPTER 02: Understanding NIST AI RMF 1.0

    1. (Included in full purchase)

      2.1: What NIST AI RMF 1.0 Is

    2. (Included in full purchase)

      2.2: Purpose, Scope, and Audience of the Framework

    3. (Included in full purchase)

      2.3: The Two Main Parts of the Framework

    4. (Included in full purchase)

      2.4: Core, Functions, and Profiles Explained

  3. 3

    CHAPTER 03: Trustworthy Artificial Intelligence and Risk Foundations

    1. (Included in full purchase)

      3.1: Artificial Intelligence Risk, Impact, and Harm

    2. (Included in full purchase)

      3.2: Trustworthy Artificial Intelligence Characteristics Overview

    3. (Included in full purchase)

      3.3: Valid, Reliable, Safe, Secure, and Resilient Systems

    4. (Included in full purchase)

      3.4: Accountability, Transparency, Explainability, Privacy, and Fairness

    5. (Included in full purchase)

      3.5: Trade-Offs Between Trustworthiness Characteristics

  4. 4

    CHAPTER 04: Artificial Intelligence Lifecycle, Actors, and Context

    1. (Included in full purchase)

      4.1: Artificial Intelligence Lifecycle Stages

    2. (Included in full purchase)

      4.2: Key Artificial Intelligence Actors and Their Roles

    3. (Included in full purchase)

      4.3: Why Context Matters in Artificial Intelligence Risk

    4. (Included in full purchase)

      4.4: Stakeholders, Impacted Individuals, and Communities

    5. (Included in full purchase)

      4.5: Human-AI Interaction and Oversight

  5. 5

    CHAPTER 05: Govern Function

    1. (Included in full purchase)

      5.1: What the Govern Function Is Meant to Achieve

    2. (Included in full purchase)

      5.2: Policies, Processes, and Accountability Structures

    3. (Included in full purchase)

      5.3: Roles, Responsibilities, and Executive Ownership

    4. (Included in full purchase)

      5.4: Risk Culture, Training, and Organizational Readiness

    5. (Included in full purchase)

      5.5: Third-Party and Supply Chain Governance

  6. 6

    CHAPTER 06: Map Function

    1. (Included in full purchase)

      6.1: What the Map Function Is Meant to Achieve

    2. (Included in full purchase)

      6.2: Defining Intended Purpose and Business Value

    3. (Included in full purchase)

      6.3: Understanding System Boundaries, Data, and Dependencies

    4. (Included in full purchase)

      6.4: Identifying Risks, Benefits, and Potential Harm

    5. (Included in full purchase)

      6.5: Mapping Impacts to Individuals, Communities, and Society

  7. 7

    CHAPTER 07: Measure Function

    1. (Included in full purchase)

      7.1: What the Measure Function Is Meant to Achieve

    2. (Included in full purchase)

      7.2: Metrics, Testing, and Evaluation Basics

    3. (Included in full purchase)

      7.3: Measuring Trustworthiness Characteristics

    4. (Included in full purchase)

      7.4: Tracking Existing, Emergent, and Hard-to-Measure Risks

    5. (Included in full purchase)

      7.5: Feedback, Monitoring, and Evidence Collection

  8. 8

    CHAPTER 08: Manage Function

    1. (Included in full purchase)

      8.1: What the Manage Function Is Meant to Achieve

    2. (Included in full purchase)

      8.2: Risk Prioritization and Treatment Decisions

    3. (Included in full purchase)

      8.3: Go or No-Go Decisions and Residual Risk

    4. (Included in full purchase)

      8.4: Incident Response, Recovery, and Escalation

    5. (Included in full purchase)

      8.5: Continuous Improvement and Post-Deployment Monitoring

  9. 9

    CHAPTER 09: Profiles, Implementation, and Organizational Adoption

    1. (Included in full purchase)

      9.1: What AI RMF Profiles Are

    2. (Included in full purchase)

      9.2: Current-State and Target-State Profiles

    3. (Included in full purchase)

      9.3: Gap Analysis and Prioritization

    4. (Included in full purchase)

      9.4: Integrating AI RMF with Risk, Security, Privacy, and Compliance

    5. (Included in full purchase)

      9.5: Building a Practical Adoption Roadmap

  10. 10

    CHAPTER 10: Practical Use Cases and Final Workshop

    1. (Included in full purchase)

      10.1: Generative Artificial Intelligence Assistant Use Case

    2. (Included in full purchase)

      10.2: Hiring or Screening Use Case

    3. (Included in full purchase)

      10.3: Third-Party Artificial Intelligence Procurement Use Case

    4. (Included in full purchase)

      10.4: How to Walk Through an Artificial Intelligence Risk Assessment

    5. (Included in full purchase)

      10.5: Final Course Wrap-Up and Next Steps

  11. 11

    Knowledge Check and Final Assessment

    1. (Included in full purchase)

      Assessment

Ready to Build Practical Artificial Intelligence Risk Management Skills?

Gain instant access to a structured, self-paced course designed to help you understand and apply NIST AI RMF 1.0 with confidence in real-world governance, risk, and oversight scenarios.

$39.99

Get Instant Access