Udemy
AI Governance, Risk Compliance (GRC) | EU AI Act & ISO 42001
Artificial Intelligence · IT & Software
Library / Artificial Intelligence
On Udemy
This course puts you to work and prepares you for certification.
By the time you finish this course, you won't just understand ISO/IEC 42001. You'll have completed a working gap assessment for an AI Management System: the first real deliverable a Lead Implementer produces. You'll also classify a real AI system under the EU AI Act, the way a regulator expects. Two practical deliverables. Both ready to use at work.
Walk into your certification exam knowing what to expect.
You'll build practical implementation skills by completing real-world deliverables, then measure your readiness with a full-length, 100-question mock exam designed to mirror the style and structure of the real ISO/IEC 42001 Lead Implementer certification. Giving you evidence of your readiness before you sit the exam.
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.
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Udemy: 2026-11-07 · Coursera: 2026-11-07 · O'Reilly: 2026-11-07 · 365 Data Science: 2026-11-07
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