
This course puts you to work.
By the time you finish this course, you won't just understand ISO/IEC 42001. You will have completed a working gap assessment for an AI Management System. That is the first real deliverable any Lead Implementer produces. And you'll have done it before you leave. You will also classify a real AI system under the EU AI Act, the way a regulator would. Two deliverables. Both ready to use at work.
This is the difference between knowledge and readiness.
This is upskilling, not catching up.
AI is reshaping every function in risk, audit, and compliance. The professionals who treat AI governance as someone else's job are the ones being moved aside. The ones who learn to govern AI within structured frameworks are the ones being promoted, retained, and consulted.
You don't need to become an AI engineer. You need to become the person in your organization who can assess AI systems against a recognized standard, identify the gaps, and lead the response. That is exactly what ISO/IEC 42001 was built for, and exactly what this course prepares you to do.
Who this is for.
This course was built for risk, audit, and compliance professionals who need to get ahead of AI governance, not as observers, but as implementers.
If you hold a CIA, CISA, or internal audit background, you already think in frameworks, controls, and evidence. ISO/IEC 42001 is your natural ground. This course gives you the AI-specific literacy to operate in it.
The EU AI Act is in force now. If your organization builds, buys, or deploys AI, someone has to classify those systems and defend the classification. This course makes you that person.
If you work in financial services, healthcare, or any regulated sector, you already know that AI governance obligations are converging. Organizations need people who can assess, implement, and audit AI management systems. This course prepares you to be one of them.
What you will do, not just learn.
The course is structured around the GRS ARC Framework, a 10-step practitioner implementation sequence mapped directly to ISO/IEC 42001. Every step builds toward a single practical outcome: a completed AI Management System gap assessment.
By the end of this course you will have:
Mapped your organization's current AI practices against ISO/IEC 42001 requirements.
Identified implementation gaps across the standard's core clauses and control areas.
Completed a structured gap assessment using a professional grade tool included in the course.
Understood where you stand and what comes next in a real implementation.
Classified AI systems across all four EU AI Act risk levels.
Run a full EU AI Act classification on a real system, from identification through to documentation.
That gap assessment is not a classroom exercise. It is the first document a Lead Implementer produces when they walk into an engagement or an internal implementation project. You will finish this course holding it.
What you get inside the course.
The 10-step GRS ARC Framework, taught as a working implementation sequence rather than a clause walkthrough.
Three applied case studies that take you through realistic implementation scenarios from a practitioner's seat.
The AI Management System Gap Assessment Tool, the professional grade artifact you will complete as you progress through the course.
A complete EU AI Act classification module. The 6 step method you can run on any system, four applied case studies, a practice test, and a full classification assignment.
Knowledge checks at key points in the course to reinforce the practitioner sequence and help the learning stick.
Why this course works for risk and audit professionals.
This course was developed by a Certified Internal Auditor (CIA) and CPD Accredited Trainer with 15 years of risk and audit experience in financial regulation. The regulatory environment is not background reading. It is the lens through which the standard is taught.
You will recognize the situations used in this course. They come from the working life of risk and audit professionals in regulated organizations. The standard becomes practical because it is taught alongside the problems it actually solves.
This course is updated regularly.
Version 1 reflects the current ISO/IEC 42001:2023 standard. Content will be expanded and refined as regulatory guidance develops and as student feedback shapes the curriculum.
A note on responsible AI use.
This course is about governing AI. It is also produced by someone who uses AI responsibly in their own work. Artificial intelligence was used in parts of the production process, for example in research synthesis, drafting support, and editorial review. All teaching content, frameworks, case studies, and the gap assessment tool were authored, validated, and delivered by the instructor. No content was generated by AI without expert review. No voice or video in this course was generated by AI. Transparency on this point matters, because a course on AI governance should practice the principles it teaches.
Start where every implementation starts.
The gap assessment. Enroll and complete yours.