NIST AI Risk Management Framework In Practice
Apply AI Risk Governance, Trustworthy AI Controls, Risk Mapping, Validation, Monitoring, and Enterprise AI Governance Using the NIST AI RMF — Self-Paced Certificate Training.
Hours
Lectures
Content
About This Course
Artificial intelligence is now woven into daily business decisions and among the least understood risks organizations face today. This NIST AI Risk Management Framework course builds the knowledge risk leaders, compliance teams, and technology managers need to recognize AI risk before it escalates into legal exposure or trust failures.
Learners begin by understanding how AI risk shows up across organizations, then apply the framework's core functions, including governance, risk mapping, and trustworthy AI evaluation. The course covers generative and agentic AI oversight, security controls, and vendor risk management before addressing board oversight, U.S. compliance, and global alignment.
By the end, learners are equipped to govern AI responsibly, respond to emerging risks with confidence, and strengthen AI governance culture across any organization.
What You'll Learn
- Recognize AI risk and how it differs across generative, agentic, and traditional automated systems
- Apply the NIST AI Risk Management Framework's Govern, Map, Measure, and Manage functions
- Conduct risk mapping and evaluate trustworthy AI characteristics against business trade-offs
- Oversee generative and agentic AI systems, including autonomy, memory, and tool use
- Control prompt injection, data leakage, and model abuse through runtime guardrails
- Apply testing and monitoring practices across the AI lifecycle
- Build enterprise AI inventories and support board-level governance oversight
- Manage vendor and supply chain risk tied to outside AI providers
- Align governance practices with U.S. federal, state, and global standards
Requirements
- No prior AI or technical background required
- A basic familiarity with workplace risk, compliance, or governance concepts is helpful but not mandatory
- A genuine interest in responsible AI practices and organizational accountability
- Willingness to review sample policies, checklists, and governance documents
- A computer, tablet, or smartphone with a stable internet connection
- Openness to applying these governance concepts directly to your own workplace
This Course Includes
- More than 5 hours of self-paced online learning
- Comprehensive training on NIST AI Risk Management Framework In Practice
- Workplace-focused examples for applying AI risk management
- Knowledge checks and learning assessments
- Mobile-friendly learning experience
- Learn anytime with 1-year unlimited access
- Ongoing access to future course updates where applicable
- Certificate of Completion
Who Is This Course For?
This course is designed for risk, compliance, legal, and audit professionals, along with executives, managers, and technology leaders overseeing AI adoption. Procurement teams, HR leaders, security staff, and policy specialists will also benefit. Anyone responsible for applying the NIST AI Risk Management Framework, or simply curious about responsible AI governance, will find real value here.
Certification
Compliance and Regulatory Alignment
This course aligns with the voluntary NIST AI Risk Management Framework, helping learners apply trustworthiness principles throughout the AI lifecycle. It also connects to U.S. federal AI policy, civil rights protections, and state-level AI laws, along with international standards like ISO/IEC 42001 and the EU AI Act, offering a complete view of today's evolving regulatory landscape.
Why Compliance Training Matters
Weak AI oversight can quietly lead to biased outcomes, security gaps, data exposure, and regulatory penalties long before anyone notices a problem. This course helps professionals spot warning signs early and apply the NIST AI Risk Management Framework to build stronger safeguards, protecting organizational reputation and the people affected by everyday AI-driven decisions.
Career Benefits
Knowledge of the NIST AI Risk Management Framework is valuable for professionals working in AI governance, risk management, compliance, legal, audit, cybersecurity, privacy, data, and digital transformation roles. Completing NIST AI Risk Management Framework In Practice demonstrates practical understanding of AI risk oversight, trustworthy AI controls, lifecycle monitoring, and enterprise governance. These skills can strengthen professional credibility and support advancement into roles involving responsible AI strategy, assurance, compliance leadership, and technology risk management.
Course Curriculum
20 •5.5 hours
Course Introduction
Module 1: NIST AI RMF Architecture and Risk Intelligence
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1.1 AI Risk, Harm Pathways, and Socio-Technical Systems
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1.2 GOVERN, MAP, MEASURE, and MANAGE Core Structure
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1.3 Trustworthy AI Characteristics and Risk Trade-Offs
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1.4 AI RMF Profiles, Risk Tiers, and Lifecycle Decisions
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Module 1 Quiz
Module 2: Generative AI and Agentic AI Governance
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2.1 NIST AI 600-1, Foundation Models, and Systemic Risk
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2.2 Agent Autonomy, Identity, Memory, Tools, and Authority
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2.3 Confabulation, Content Integrity, Provenance, and Intellectual Property
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2.4 Prompt Injection, Data Leakage, Model Abuse, and Runtime Guardrails
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Module 2 Quiz
Module 3: AI Evaluation, Security, and Continuous Assurance
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3.1 Testing, Evaluation, Verification, and Validation
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3.2 Fairness, Privacy, Explainability, and Human-Factors Assurance
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3.3 AI Red Teaming, Adversarial Attacks, and Cyber Resilience
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3.4 Model Drift, Continuous Monitoring, Incidents, and Change Control
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Module 3 Quiz
Module 4: Enterprise AI Governance and Operational Control
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4.1 AI Inventories, Risk Tiers, Shadow AI, and System Ownership
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4.2 Board Oversight, Three Lines Model, and Portfolio Governance
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4.3 Vendor, Foundation Model, Supply Chain, and Procurement Controls
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4.4 Deployment Gates, Control Evidence, Residual Risk, and Audit Readiness
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Module 4 Quiz
Module 5: U.S. AI Compliance and Global Interoperability
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5.1 Federal AI Policy, Agency Governance, and Public Procurement
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5.2 Civil Rights, Consumer Protection, and Sector Enforcement
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5.3 State AI Laws, Impact Assessments, Notice, and Human Review
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5.4 NIST CSF, Privacy Framework, ISO/IEC 42001, and EU AI Act Alignment
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Module 5 Quiz
Course Conclusion
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Final Quiz
Frequently Asked Questions
The NIST AI Risk Management Framework (AI RMF) is a voluntary framework developed by the National Institute of Standards and Technology (NIST) to help organizations identify, assess, manage, and monitor AI risks while promoting trustworthy and responsible AI systems.
A: No. This course uses plain-language explanations so professionals from compliance, legal, HR, and management backgrounds can follow along without prior AI or coding experience.
ISO/IEC 42001 is an international standard that specifies requirements for establishing, implementing, maintaining, and improving an Artificial Intelligence Management System (AIMS). The NIST AI Risk Management Framework (AI RMF) is a voluntary framework that helps organizations identify, assess, manage, and monitor AI risks throughout the AI lifecycle. While ISO/IEC 42001 focuses on building a certifiable AI management system, the NIST AI RMF provides practical guidance for AI risk governance and trustworthy AI. Many organizations use both together to strengthen AI governance and risk management.
Organizations can implement the NIST AI RMF by establishing AI governance policies, creating an AI inventory, assessing and prioritizing AI risks, applying appropriate controls, validating AI systems, monitoring performance, and continuously improving governance throughout the AI lifecycle.
Yes, you will receive a Certificate of Completion recognizing your practical understanding of this framework and enterprise AI governance practices.
Yes. The course covers state-level AI regulations, impact assessments, and notice requirements, showing how each one connects back to the framework's core principles.