About this course

This practical course teaches you how to interpret AI regulations, assess AI risks, and build governance processes that organisations can apply in the real world. Rather than treating the EU AI Act and the NIST AI Risk Management Framework as separate pieces of theory, the course shows you how they work together to support responsible AI adoption, regulatory readiness, and effective risk management.

  • ✅ Understand the EU AI Act and Its Requirements — Learn how the regulation classifies AI systems, defines the responsibilities of providers and deployers, and establishes obligations for prohibited, high-risk, limited-risk, and general-purpose AI systems.

  • ✅ Apply the NIST AI Risk Management Framework — Use the Govern, Map, Measure, and Manage functions to identify AI risks, evaluate their potential impact, establish appropriate controls, and support ongoing monitoring and oversight.

  • ✅ Build a Practical AI Governance Programme — Discover how to create an AI inventory, risk assessment process, governance policy, accountability model, control framework, documentation standards, and implementation roadmap for your organisation.

Course curriculum

    1. Introduction

    1. A breif introduction to AI and AI Risks

    2. The Need for AI Risk Management

    1. Introduction to the NIST AI RMF

    2. Implementing the NIST AI RMF

    3. Implementing the NIST AI RMF (continued)

    4. NIST AI RMF - Foundation

    5. NIST AI RMF - Foundation (Risk Management Challenges)

    6. NIST AI RMF - Foundation ( Risk Management continued .. )

    7. The NIST AI RMF - Foundation (Trustworthy AI Systems)

    8. The NIST AI RMF - Core Overview

    9. The NIST AI RMF - Govern Part 1

    10. The NIST AI RMF - Govern Part 2

    11. The NIST AI RMF - Govern Part 3

    12. The NIST AI RMF - Govern Part 4

    13. The NIST AI RMF - Govern Part 5

    14. The NIST AI RMF - Govern Part 6

    15. The NIST AI RMF - MAP Part 1

    16. The NIST AI RMF - MAP Part 2

    17. The NIST AI RMF - MAP Part 3

    18. The NIST AI RMF - MAP Part 4

    19. The NIST AI RMF - MAP Part 5

    20. The NIST AI RMF - Measure Part 1

    21. The NIST AI RMF - Measure Part 2

    22. The NIST AI RMF - Measure Part 3

    23. The NIST AI RMF - Measure Part 4

    24. The NIST AI RMF - Manage Part 1

    25. The NIST AI RMF - Manage Part 2

    26. The NIST AI RMF - Manage Part 3

    27. The NIST AI RMF - Manage Part 4

    28. Combining NIST with other frameworks

    1. Overview EU AI Act - Part 1

    2. Overview EI AI Act - Part 2

    3. EU AI Act - Minimal Risk Systems

    4. EU AI Act - Prohibited Systems

    5. EU AI Act - High Risk Systems

    6. EU AI Act - High Risk Case Study

    7. EU AI Act - General Purpose Systems

    8. EU AI Act - General Purpose AI Case Study

    9. The EU AI Act Process Flow

    10. EU AI Act - Governance

    11. Implementing the EU AI Act

    1. The Way Forward

About this course

  • $29.99
  • 43 lessons
  • 5 hours of video content

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Instructor(s)

Taimur Ijlal

Instructor

Taimur Ijlal is a multi-award-winning cybersecurity leader with 21+ years of experience securing cloud and AI systems at global fintech firms. He has taught 80,000+ security professionals through his courses, runs a YouTube channel with 22,000+ subscribers, and publishes a newsletter read by 7,000+ security practitioners. He is a best-selling author and regular speaker on cloud and AI security

FAQ

  • What are the EU AI Act and the NIST AI Risk Management Framework?

    The EU AI Act is a regulatory framework that establishes rules and obligations for the development, deployment, and use of artificial intelligence within the European Union. It uses a risk-based approach, with different requirements depending on the potential impact of an AI system. The NIST AI Risk Management Framework is a voluntary framework designed to help organisations identify, assess, manage, and monitor AI risks. This course explains both approaches and shows how the NIST AI RMF can support the practical implementation of an AI governance and compliance programme.

  • Will this course prepare me to pass the AIGP certification exam?

    This course is not designed as a dedicated AIGP exam-preparation course and does not follow the certification syllabus question by question. Its primary purpose is to help you understand the EU AI Act, apply the NIST AI Risk Management Framework, and build practical AI governance capabilities.

  • Do I need previous experience in AI or law to take this course?

    No. The course explains the key concepts from the ground up and does not require a legal, data science, or machine-learning background. Some experience in cybersecurity, risk management, audit, privacy, compliance, governance, or technology will be useful, but the material is designed to remain accessible to professionals from a wide range of backgrounds.

  • What makes this course different from other AI governance courses?

    Many courses focus only on explaining AI regulation or describing individual frameworks. This course connects regulatory requirements with practical risk-management activities. You will learn not only what the EU AI Act and NIST AI RMF say, but how to use them to create governance processes, assess AI use cases, document risks, define accountability, select controls, and build an implementation roadmap.