AI Governance Training
Practical, role-specific AI governance training for boards, executives, risk teams, and technical staff — building the knowledge and capability your organisation needs to govern AI responsibly.
Who We Train
Role-Specific Training Programmes
Every programme is tailored to the audience — from board-level awareness to hands-on practitioner workshops.
Board & Executive
Strategic AI governance awareness for directors and C-suite — AI risk, regulatory obligations, accountability, and board-level oversight responsibilities.
Risk & Compliance Teams
Practical AI risk assessment, control frameworks, and compliance monitoring — aligned to ISO 42001, EU AI Act, and MAS TRM.
Internal Audit
AI audit methodology, evidence collection, testing techniques, and workpaper standards for auditing AI systems and governance frameworks.
Technology & Data Teams
Responsible AI development practices, model risk management, bias testing, explainability, and governance guardrails for AI builders.
Legal & Procurement
AI contract risk, third-party AI vendor due diligence, regulatory liability, and AI-specific procurement frameworks.
All Staff Awareness
Organisation-wide AI literacy and responsible AI use — what AI governance means for every employee and how to raise concerns.
Training Programmes
What We Cover
AI Governance Fundamentals
Core AI governance concepts — frameworks, accountability structures, risk classification, and the regulatory landscape across ISO 42001, EU AI Act, and APAC regulations.
ISO 42001 Practitioner
Deep-dive into ISO 42001 requirements — AIMS design, policy development, risk assessment, control implementation, and internal audit preparation.
EU AI Act Compliance
Practical EU AI Act compliance — risk tier classification, conformity assessment, technical documentation, and ongoing monitoring obligations.
AI Risk Assessment
Hands-on AI risk assessment methodology — identifying, evaluating, and treating AI risks across the full system lifecycle.
Responsible AI by Design
Embedding responsible AI principles into development workflows — fairness, transparency, accountability, and human oversight from day one.
AI Audit Methodology
Practical AI audit skills — planning, fieldwork, evidence collection, testing, finding management, and board-ready reporting.
Our Approach
How We Deliver Training
Needs Assessment
We assess your organisation's AI governance maturity, training gaps, and regulatory obligations to design a targeted programme.
Programme Design
We design role-specific content using real-world case studies, your own AI systems where appropriate, and current regulatory requirements.
Delivery
Expert-led delivery — in-person workshops, virtual sessions, or blended programmes — with interactive exercises and practical application.
Assessment & Certification
Post-training assessment and DotCoAi certificates of completion — demonstrating competency to regulators, auditors, and boards.
Ongoing Support
Access to updated training materials, regulatory change briefings, and refresher sessions as the AI governance landscape evolves.
Outcomes
What Your Teams Will Achieve
Get Started
Build Your AI Governance Capability
Talk to us about a training programme tailored to your organisation's roles, maturity, and regulatory obligations.
Talk to an Expert
Speak directly with a senior AI governance specialist. We'll understand your needs and map out the right engagement for your organisation.
Free AI Readiness Assessment
Take our AI Readiness Assessment to benchmark your governance maturity, identify gaps, and get a personalised report — completely free.