AI Governance Path
GRC professionals future-proofing into the fast-growing field of AI governance and risk.
Assessed work, a capstone and a verified credential
What the path adds
Membership covers foundation reading. A path is where the work is assessed and the credential is earned.
- Marked work
- Your written submissions are assessed against a rubric, not ticked off.
- Cumulative assessment
- One exam across the whole path, not a quiz per course.
- Capstone
- A final piece of real work, reviewed.
- Portfolio artefact
- Something you can put in front of a hiring manager.
- Verified credential
- A Professional Path Credential with a public verification page.
What this path makes you able to do.
- Apply GRC fundamentals to AI systems and data
- Handle privacy & data protection (GDPR / UK GDPR)
- Govern AI risk, regulation and controls responsibly
The 4-step path.
- 1View course
GRC Analyst Certification
Your GRC foundation
- 2View course
Privacy & Data Protection
GDPR / UK GDPR
- 3View course
AI GRC Practitioner
Govern AI risk & compliance
Capstone: AI governance framework
A working AI risk & governance program
Hands-on lab work.
Every step above is backed by real practice in Atlas, our simulated workbench. You do the work an employer would hand you, and you keep the artifacts as portfolio evidence.
AI Governance: Responsible AI
Stand up responsible-AI governance: inventory the AI estate and classify each system under the EU AI Act, write model cards for the high-risk models, and run an AI risk register, all on the NIST AI RMF.
Hands-on labs. A final exam & capstone. A real role.
You finish with a portfolio you can show, a cumulative exam, and the skills to land the AI Governance Analyst role.
Not sure this is the one? Take the free fit and aptitude check first: twelve short questions, instant answer.