Certified education across the four pillars of AI governance practice.
Self-paced, assessed, and CPD-eligible. Take an individual course or work through a pillar in sequence.
Pillar 01 — EU AI Act
4 COURSES · REGULATORYEU AI Act: Foundations for Compliance
Scope, risk tiers, prohibited practices, provider and deployer obligations, and the conformity assessment route.
High-Risk AI Systems: Obligations in Practice
The full Article 8–15 obligation set, technical documentation, human oversight, and post-market monitoring.
General-Purpose AI Models Under the Act
GPAI provider obligations, systemic risk thresholds, transparency requirements, and the Code of Practice.
Enforcement, Penalties, and National Authorities
How the Act is enforced across member states, the AI Office, national competent authorities, and complaint procedures.
Pillar 02 — AI Governance
3 COURSES · GOVERNANCEAI Governance in the Enterprise
Designing policies, committees, and control frameworks that hold up under regulatory and board scrutiny.
ISO/IEC 42001: Implementing an AI Management System
A practitioner walkthrough of the AIMS standard, clause by clause, with control mapping and certification readiness.
Board and Executive Oversight of AI
What non-executive directors and executive committees need to know to discharge their duty of care in an AI-enabled organisation.
Pillar 03 — Risk & Assurance
3 COURSES · RISKAI Risk & Assurance
Identifying, assessing, and treating AI-specific risks — from bias and robustness to third-party model exposure.
Third-Party AI: Procurement, Contracts, and Due Diligence
Assessing vendor AI systems, negotiating AI-specific contract terms, and running due diligence on model providers.
AI Incident Response and Post-Market Monitoring
Detecting, triaging, and responding to AI system failures, including regulatory notification obligations.
Pillar 04 — Foundations of AI
2 COURSES · FOUNDATIONALFoundations of AI for Non-Technical Professionals
How modern AI systems actually work — enough to ask the right questions, read a model card, and challenge a supplier.
Data, Models, and Machine Learning: A Governance Primer
The data lifecycle, model training, evaluation, and deployment — for the people who oversee these things without building them.
License the full catalogue for your team.
Cohort pricing, dashboarded progress reporting, and bespoke module sequencing available for organisations of 10 seats or more.
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