AI Governance, Risk, Compliance & Assurance Practitioner Programme
Twenty-four module assignments from AI foundations to a practitioner viva. Each asks for a professional decision and a traceable evidence contribution. Teaching materials are published stage by stage.
3 of 24 lessons published
Every module's Knowledge Check, Practitioner Lab and assignment are open now. Lessons follow stage by stage.
See the programme map: what you learn, practise, test and evidence in each moduleStage 1 · Foundation3 of 4 lessons published
Describe AI systems, recognise harm and understand the governance and legal landscape.
- Module 1AI Foundations for GovernanceFoundationsAIAssignment: System description and actor map
- Module 2Responsible AI, Trustworthy AI & HarmPrinciplesAI · HireAIAssignment: Stakeholder and harm analysis
- Module 3GRC & Assurance BasicsBankFraud AIAssignment: BankFraud AI Risk & Controls Assessment
- Module 4AI and the Wider Legal LandscapeLegalAIAssignment: Legal-risk screen and counsel questions
Stage 2 · Risk & GovernanceLessons to follow
Apply the NIST AI Risk Management Framework and assess generative and agentic AI risk.
Stage 3 · Management SystemsLessons to follow
Build an ISO/IEC 42001 AI management system and run impact assessments.
Stage 4 · Regulation & ControlsLessons to follow
Classify under the EU AI Act, protect privacy, design controls and test assurance evidence.
Stage 5 · Operating ModelLessons to follow
Run AI governance end to end across suppliers, monitoring and sector decisions.
Stage 6 · Final Practitioner AssessmentLessons to follow
Bring the whole portfolio together and defend a governance recommendation.
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