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NIST AI Risk Management Framework (RMF) Masterclass 2024

Learn Practical Strategies for Implementing the NIST AI RMF in Your Organization
Understand the need for AI Risk Management
Fundamentals of the NIST AI Risk Management Framework (RMF)
Apply the NIST AI RMF in Case Studies
Understand the Foundational and Core Components of the NIST AI RMF

The NIST AI Risk Management Framework (RMF) Masterclass is an essential course for professionals navigating the complex landscape of AI risk management. With the rapid integration of artificial intelligence into various business sectors, understanding and managing the unique risks associated with these technologies is crucial. This course offers an in-depth exploration of the National Institute of Standards and Technology’s AI Risk Management Framework (AI RMF), providing practical insights for its application in corporate environments.

What You Will Learn

  • Comprehensive understanding of NIST’s AI RMF, its structure, and key concepts.

  • Techniques to identify, assess, and manage AI-related risks within your organization.

  • Case Studies to help you understand the framework in practical settings

  • Strategies to align AI risk management with legal, regulatory, and organizational goals.

Course Outline

Introduction to NIST AI RMF

  • Understanding the NIST AI RMF and its relevance in today’s corporate landscape.

  • Key principles and structure of the AI RMF.

AI Risks in the Corporate Environment

  • Overview of unique AI risks and their implications in business settings.

  • Detailed analysis of how to mitigate AI risks

Implementing AI RMF in Organizations

  • Step-by-step guide to applying AI RMF in a corporate setting.

  • Case studies and practical examples of AI risk management.

Who Should Take This Course

This course is ideal for professionals involved in AI implementation and risk management, including:

  • Risk Management Professionals

  • Cybersecurity Professionals

  • Privacy Professionals

  • Business Executives and Decision-Makers

  • Compliance and Regulatory Affairs Specialists

  • Anyone interested in AI risk management frameworks

Prerequisites

A basic understanding of AI technologies and risk management is recommended, but not mandatory.

Instructor

A multi-award winning, information security leader with over 20+ years of international experience in cyber-security and IT risk management in the fin-tech industry. Winner of major industry awards such as CISO of the year, CISO top 30, CISO top 50 and Most Outstanding Security team.

Taimur’s courses on Cybersecurity and AI have thousands of students from all over the world. He has also been published in leading publications like ISACA journal, CIO Magazine Middle East and published two books on AI Security and Cloud Computing ( ranked #1 new release on Amazon )

Introduction

1
Introduction
2
Introduction to AI Risks
3
AI Incidents

The NIST AI Risk Management Framework

1
Introduction to the NIST AI Framework
2
Implementing the Framework
3
Implementing the Framework ( Continued )

NIST AI Framework Deepdive - FOUNDATION

1
NIST AI RMF - Foundation
2
NIST AI RMF - Foundation ( Risk Management Challenges )
3
NIST AI RMF - Foundation ( Risk Management continued .. )
4
NIST AI RMF - Foundation ( Trustworthy AI Systems )

NIST AI Framework Deepdive - CORE

1
NIST AI RMF - Introduction to the Core
2
GOVERN 1
3
GOVERN 2
4
GOVERN 3
5
GOVERN 4
6
GOVERN 5
7
GOVERN 6
8
MAP 1
9
MAP 2
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MAP 3
11
MAP 4
12
MAP 5
13
MEASURE 1
14
MEASURE 2
15
MEASURE 3
16
MEASURE 4
17
MANAGE 1
18
MANAGE 2
19
MANAGE 3
20
MANAGE 4

Wrapping up

1
Conclusion
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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