Course Description
Equip your team with the essentials of AI auditing and assurance so you can evidence control over AI systems and reduce regulatory and reputational risk. Learn practical audit methodologies, how to scope internal and third-party reviews, and how to implement audit trails and logging that stand up to scrutiny—aligned to recognised certification schemes such as ISO/IEC 42001.
Who Should Take This Course
Ideal for compliance and risk managers, internal auditors, product owners, data/AI leads, security and privacy professionals, and senior managers responsible for AI governance. Suitable for both technical and non-technical stakeholders involved in deploying or overseeing AI in the organisation.
Prerequisites
No prior experience needed. A basic understanding of how your organisation uses data or AI is helpful but not required.
What You Will Learn
- Plan and execute a risk-based AI audit using practical, repeatable methodologies.
- Differentiate third-party vs. internal audits and prepare vendor questionnaires and evidence packs.
- Define robust audit trail and logging requirements across data, training, deployment, and monitoring.
- Map controls to recognised assurance and certification schemes (e.g., ISO/IEC 42001) and build a lightweight compliance plan.
- Produce an actionable AI audit readiness checklist tailored to your organisational context.