Course
Four modules, one per exam domain
Work through them in order. Each lesson ends with check questions that feed your progress tracker.
Course progress
0 of 20 lessons complete1. Foundations of AI governance
16–20 scored items0/5 lessons done
2. Laws, standards and frameworks
19–23 scored items0/6 lessons done
Lesson 2.1 · 12 min
Privacy and data protection law applied to AI
Lesson 2.2 · 11 min
Consumer, anti-discrimination, liability and IP law
Lesson 2.3 · 15 min
EU AI Act I: scope, roles and risk tiers
Lesson 2.4 · 16 min
EU AI Act II: obligations, GPAI, dates and penalties
Lesson 2.5 · 13 min
NIST AI RMF, ISO standards and other frameworks
Lesson 2.6 · 13 min
The global AI law landscape
3. Governing AI development
21–25 scored items0/6 lessons done
Lesson 3.1 · 12 min
Plan and design: scoping the system
Lesson 3.2 · 14 min
Data governance and bias
Lesson 3.3 · 9 min
Building and training with privacy in mind
Lesson 3.4 · 13 min
Testing, explainability and security
Lesson 3.5 · 10 min
Release, monitoring and change control
Lesson 3.6 · 12 min
Governing generative AI
4. Governing AI deployment and use
21–25 scored items0/3 lessons done