Become a practitioner
by doing the work.
Learn the frameworks. Practise the decisions. Build the evidence.
A 24-module programme in AI governance, risk, compliance and assurance. Every module pairs the theory with a practitioner lab, so you finish with a portfolio of work you can defend, not just a certificate.
- 24modules
- 14practitioner labs
- 52professional artefacts
- 6assessments
- 01Foundation
Describe AI systems, recognise harm and understand the governance and legal landscape.
FoundationsAI · PrinciplesAI · LegalAI - 02Risk & Governance
Apply the NIST AI Risk Management Framework and assess generative and agentic AI risk.
RMFAI · SecureGenAI - 03Management Systems
Build an ISO/IEC 42001 AI management system and run impact assessments.
AIMS360 · ImpactAI - 04Regulation & Controls
Classify under the EU AI Act, protect privacy, design controls and test assurance evidence.
ActAI · PrivacyAI · ControlAI · AssureAI - 05Operating Model
Run AI governance end to end across suppliers, monitoring and sector decisions.
OperateAI - 06Final Practitioner Assessment
Bring the whole portfolio together and defend a governance recommendation.
CapstoneAI
Learn it, practise it, prove it.
Each module follows the same cycle, so knowledge turns into decisions you can explain and evidence a reviewer can check.
- 01
Learn
The lesson, reading and homework: the concept, the framework and why it matters.
- 02
Check
A Knowledge Check from the AI Assessor: scenario questions, coached first, then on your own.
- 03
Practise
Guided work on a realistic case in the module's Practitioner Lab. Always open.
- 04
Demonstrate
A Practitioner Challenge: an unseen case, with feedback after each stage, once the Check is passed.
- 05
Evidence
Submit your work, get your trainer's feedback and revise it into evidence you can defend.
Try a practitioner scenario
Review an AI recruitment screening tool before it goes live. Challenge its rankings, map who could be harmed, choose controls and make a defensible go-live decision.
Fictional candidates. No real CVs. No hiring decisions.
Challenge the AI ranking
Look beyond the score. What assumptions or missing evidence could affect this result?