Executive Certificate in AI Governance
Six practitioner courses and a marked capstone project. Complete them all and the Executive Certificate unlocks automatically — at no extra charge.
Who this programme is for
- Professionals given responsibility for AI — compliance, risk, legal-adjacent, product, operations
- Managers and consultants who need to govern AI use credibly, not just talk about it
- Educators and administrators facing AI policy and integrity questions right now
| Required courses | 6 |
|---|---|
| Learning hours | 19 (self-paced, lifetime access) |
| Assessment | Per-course exams (80% pass) + marked capstone |
| Credential level | Executive · Distinction available |
| Programme certificate | No additional cost — unlocks on completion |
| Bundle price |
The six courses
Unlike most course platforms, we publish every unit, outcome and assessment standard before you pay. Open any course below.
AI Governance Foundations Practitioner · 3 hrs · £45 £29
Who it's for: Compliance officers, managers given AI responsibility, consultants
Units
- Why AI governance exists: harms, incidents, trust
- The governance landscape: EU AI Act, NIST AI RMF, ISO/IEC 42001, OECD, Singapore Model Framework
- Roles and accountability: boards, owners, three lines of defence
- The AI lifecycle and where governance attaches
- Governance artefacts: policies, registers, model cards, impact assessments
- Building a right-sized programme
After this course you can
- Map the five major frameworks and select those applicable to a given organisation
- Assign accountability using a three-lines model
- Name the governance artefact required at each lifecycle stage
- Scope a proportionate governance programme for an SME or an enterprise
Toolkit included
AI governance programme starter checklist (Excel)
Assessment: 25 questions from a randomised bank, ≥40% scenario-based, 80% pass mark, three attempts. Counts toward 3 certificates.
AI Literacy for Managers Foundation · 3 hrs · £45 £29
Who it's for: Managers who must make decisions about AI without a technical background
Units
- How machine learning and large language models work — no mathematics
- What AI can and cannot reliably do
- Reading vendor claims: benchmarks, demos and marketing
- Cost, risk and value: deciding where AI belongs in your operation
- Managing teams that use AI
- Asking the right questions of technical staff and vendors
After this course you can
- Explain model behaviour and failure modes in business terms
- Evaluate an AI vendor claim with a structured question set
- Identify tasks suited and unsuited to current AI
- Set team-level rules for AI-assisted work
Toolkit included
Vendor due-diligence question bank — 20 questions (Word)
Assessment: 25 questions from a randomised bank, ≥40% scenario-based, 80% pass mark, three attempts. Counts toward 2 certificates.
AI Risk Assessment in Practice Practitioner · 3 hrs · £45 £29
Who it's for: Risk, compliance and project staff who must produce a real risk assessment
Units
- AI risk taxonomies: bias, robustness, privacy, security, misuse, systemic
- NIST AI RMF: govern, map, measure, manage — in practice
- Risk identification workshops and stakeholder mapping
- Scoring: likelihood, severity, proportionality; EU AI Act risk tiers
- Treatments and controls
- The living register: review cycles, triggers, reporting
After this course you can
- Classify a system under the EU AI Act risk tiers
- Run a structured risk identification exercise
- Produce a scored, treatment-mapped AI risk register
- Define review triggers and escalation paths
Toolkit included
AI risk register template with scoring model (Excel) — also used in the capstone
Assessment: 25 questions from a randomised bank, ≥40% scenario-based, 80% pass mark, three attempts. Counts toward 2 certificates.
Regulating AI: the EU AI Act and Global Frameworks Practitioner · 3 hrs · £45 £29
Who it's for: Compliance, legal-adjacent, product and policy staff
Units
- The EU AI Act: scope, risk tiers, prohibited practices
- High-risk obligations: providers versus deployers
- General-purpose AI duties and transparency rules
- Enforcement timeline and penalties
- The rest of the map: UK, US, China, Singapore and APAC
- Building one compliance posture across jurisdictions
After this course you can
- Determine whether and how a system falls under the EU AI Act
- Distinguish provider from deployer obligations
- Produce a jurisdictional applicability memo
- Design a single control set serving multiple regimes
Toolkit included
EU AI Act applicability decision tree and obligations checklist (PDF)
Assessment: 25 questions from a randomised bank, ≥40% scenario-based, 80% pass mark, three attempts. Counts toward 2 certificates.
AI Policy for Organisations Practitioner · 3 hrs · £45 £29
Who it's for: Anyone tasked with writing their organisation’s AI policy
Units
- What an AI policy is for — and its three failure modes
- Scoping: acceptable use, development and procurement policies
- The acceptable-use core: permitted tools, prohibited inputs, verification, disclosure
- Procurement and third-party AI clauses
- Exceptions, approvals and enforcement
- Rollout: training, attestation, review cycle
After this course you can
- Select the right policy scope for an organisation’s AI maturity
- Draft an acceptable-use policy from the provided skeleton
- Embed AI clauses into procurement
- Design a rollout and attestation plan
Toolkit included
Modular AI policy skeleton with drafting notes (Word)
Assessment: 25 questions from a randomised bank, ≥40% scenario-based, 80% pass mark, three attempts. Counts toward 3 certificates.
Auditing and Assuring AI Systems Practitioner · 3 hrs · £45 £29
Who it's for: Internal audit, QA, consultants and governance leads
Units
- Assurance concepts: first, second and third party; certification versus audit
- ISO/IEC 42001 AI management systems: structure and auditable clauses
- Evidence: documentation review, model cards, logs, test results
- Testing the claims: bias and performance evaluation at audit depth
- Auditing vendors and procured AI
- Reporting: findings, nonconformities, management response
After this course you can
- Plan a proportionate AI audit
- Map ISO/IEC 42001 clauses to evidence requests
- Assess an AI system’s documentation package for completeness
- Write a findings report with graded nonconformities
Toolkit included
AI audit evidence-request list and findings report template (Word)
Assessment: 25 questions from a randomised bank, ≥40% scenario-based, 80% pass mark, three attempts. Counts toward 2 certificates.
Finish by doing the actual job.
An AI Risk Register and Governance Action Plan for a real or realistic organisation (8–12 pages, template provided), marked against a published rubric. Distinction awarded at 85% and above.
The document you submit is the document you take to work: a risk register and action plan your organisation can adopt the same week.
What the certificate says — and how it's checked.
- Your verified name, programme title and credential level
- Learning hours, learning outcomes and assessment method
- Issue date, unique certificate number and QR verification code
- Signed by the Academic Director
The London School of AI Governance provides professional and continuing education courses. Its certificates are professional continuing education credentials, not academic degrees, diplomas or government-recognised qualifications.