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Keep shoppingNIST AI RISK MANAGEMENT FRAMEWORK (RMF) for Beginners
49 students
NIST AI RISK MANAGEMENT FRAMEWORK (RMF) for Beginners
A Plain-English Guide to Understanding and Applying the NIST AI Risk Management Framework
Created byPaul Oyelakin
Last updated 1/2026
English
What you'll learn
- Understand the purpose and structure of the NIST AI Risk Management Framework and how it supports responsible AI use.
- Recognize key AI risks, including technical, ethical, legal, and operational impacts on organizations and individuals.
- Apply the Govern, Map, Measure, and Manage functions to evaluate AI risks across the system lifecycle.
- Contribute to AI governance by asking informed questions and supporting risk-aware AI decisions.
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Course content
2 sections • 7 lectures • 38m total length
Requirements
- There are no formal prerequisites required to take this course.
Description
This course contains the use of artificial intelligence...
Artificial intelligence is moving fast — faster than most organizations can govern it.
New tools are being adopted, decisions are being automated, and risks are quietly piling up. Most professionals know AI is powerful, but very few understand how to manage it responsibly, explain it to leadership, or apply existing risk frameworks in a practical way.
That’s exactly what this course is designed to fix.
In this course, you’ll learn how to understand and apply the nist AI Risk Management Framework without getting buried in policy language, legal jargon, or academic theory. I take the official nist guidance and translate it into plain English, real-world examples, and practical thinking you can actually use on the job.
This is not a coding course.
This is not a data science course.
And it’s definitely not a compliance document read-through.
Instead, you’ll learn how organizations are expected to govern AI, identify risk, assign accountability, and make informed decisions as AI systems are designed, deployed, and used.
Whether you work in cybersecurity, IT, privacy, compliance, risk management, healthcare, government, or leadership, this course helps you understand:
Why AI risk is different from traditional IT risk
How nist approaches trustworthy and responsible AI
What governance really means in an AI context
How to spot gaps, ask better questions, and reduce uncertainty
How to talk about AI risk confidently with stakeholders and leadership
You don’t need prior AI experience to succeed here. If you understand basic risk concepts and want to stay relevant as AI continues to reshape organizations, this course was built for you.
By the end of this course, you won’t just recognize AI risk — you’ll know how to think about it, explain it, and apply a nationally recognized framework to real situations.
If you’re ready to stop guessing and start understanding AI risk the right way, this course is your starting point.
Who this course is for:
- This course is designed for: Professionals responsible for overseeing, governing, or supporting the use of AI within their organization Risk management, compliance, governance, privacy, and security professionals Business leaders and decision-makers involved in approving or managing AI-enabled systems Technology professionals seeking a non-technical understanding of AI risks and governance Students and career changers looking to build foundational knowledge in AI risk management Anyone who wants to understand the NIST AI Risk Management Framework without a deep technical background This course is not focused on coding, data science, or AI model development. It is designed to help learners understand risk, accountability, and responsible AI use at an organizational level.