Become an AI governance and risk lead
Set the rules for safe AI use and check that people follow them.
For: Risk, legal, compliance and operations people who guide how an organisation uses AI.
- 10 steps
- stops on the route
- 10 lessons
- you finish in total
- 1 course
- the lessons come from
- ~3.1h reading
- all lessons together
Finish every lesson to earn a certificate of completion that anyone can verify. Jump to the certificate ↓
Honest note: The ten steps follow the AI Governance & Risk Lead course. It teaches practice and is not legal advice. Ask a lawyer about the rules in your region. Extra reading from other courses is listed at the end.
How to read this page. A roadmap is a route made of 10 steps. Each step has one lesson. There are 10 lessons in total. Extra reading is listed at the end of the page. It does not count towards your progress.
- AI Governance & Risk Lead0/10 done
Certificate of completion
Earn your AI governance and risk lead certificate
Verified edition
Mark every lesson in this roadmap complete. You have finished 0 of 10. 10 to go.
See a sample certificate. Anyone can check a certificate with its code at /verify. It records course completion. It is not an exam or an accredited qualification.
- 1
Step 1 of 10
Understand the role
Explain what governance is, why it matters now and what the role produces.
Before you move on: Write a five-question survey on AI use in your organisation and sort ten imagined answers by risk.
- 2
Step 2 of 10
Build the inventory and tiers
List every AI system and sort them into clear risk tiers.
Before you move on: Fill in inventory records for five systems and assign a tier to each, with your reasons.
- 3
Step 3 of 10
Write policy, standards and controls
Write a short policy and controls that can be tested.
Lessons0/1 doneBefore you move on: Draft a one-page policy and one control record with a way to test it.
- 4
Step 4 of 10
Know the laws and frameworks
Know the EU AI Act, privacy law, NIST AI RMF and ISO/IEC 42001, and turn them into controls.
Before you move on: Map one requirement to five practical duties, each with a control and an owner.
- 5
Step 5 of 10
Manage privacy and IP risk
Keep personal data and protected material safe when staff use AI.
Before you move on: Write one-page guidance for staff with five do and five do-not examples.
- 6
Step 6 of 10
Check fairness and be transparent
Run a simple fairness check and keep accountable records.
Before you move on: Run a small fairness check on an invented table and write the system card entry.
- 7
Step 7 of 10
Assess vendors
Ask the right questions before a new AI tool goes live.
Lessons0/1 doneBefore you move on: Write ten vendor questions and five contract points for an email-drafting tool.
- 8
Step 8 of 10
Test controls and make oversight real
Prove that controls work and prepare for audits.
Before you move on: Design a control test with a sample, a planted error and an interview.
- 9
Step 9 of 10
Handle incidents and regulators
Plan the governance side of an incident, and learn from near misses.
Before you move on: Fill in the first-hours checklist and write a five-line holding statement.
- 10
Step 10 of 10
Get interview-ready
Solve governance cases aloud with a method, and show real artifacts.
Before you move on: Answer the bank loan assistant case aloud in ten minutes and write the decision memo.
Hands-on lab · build confidence
Review an AI resume screener and write the decision memo
Register it, tier it, ask the vendor questions, check fairness and write a go, conditions or stop decision.
No code · 4 to 5 hours
Optional
Want to go further?
These lessons come from other courses. They are extra reading. They do not count towards your progress or the certificate.
- ○Risk, Rules & GovernanceCourse: AI Transformation Strategist
- ○Human Oversight & ApprovalsCourse: Agent Ops & Governance
- ○Governance, Compliance & Incident ResponseCourse: Agent Ops & Governance
- ○Security & Privacy for Client DataCourse: AI Automation Builder
- ○Production-Readiness ReviewCourse: Agent Ops & Governance
- ○Trust But Verify: Catching AI Mistakes Before They Cost YouCourse: AI Agent User
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