Develop a Common Language for AI

Explore how data, models, and algorithms work together, and the operational, legal, and ethical challenges of managing them across teams.

Learn how training data, model behaviour, model evaluation and deployment impact privacy controls, data minimisation, documentation, and governance expectations.

See how emerging AI laws reshape privacy reviews, DPIAs, gap assessments, and vendor oversight.

Study Time

83 Minutes

Master Global AI Laws & Frameworks

Understand the major AI laws and governance frameworks shaping global compliance - including the EU AI Act, US state initiatives, and emerging APAC models - and how they intersect across jurisdictions.

Apply AI Governance Frameworks Across Your Organisation

Learn how to design and implement governance programs that align with diverse legal, ethical, and operational standards - supporting cross-functional collaboration and scalable compliance across regions.

Study Time

64 Minutes

Learn how model boundaries, evaluation standards, lifecycle controls, and documentation align with the EU AI Act, UK regimes, US approaches, and sector-specific expectations.

Translate regulatory obligations into practical questions for product, engineering, and risk teams.

Study Time

67 Minutes

Embed AI Risks into Your Existing Controls

See how AI changes operational, model, conduct, and third-party risks - and how to adapt existing frameworks rather than build from scratch.

Learn how to review model behaviour, identify red-flags in datasets, spot failure modes, test controls, and interpret lifecycle documentation.

Apply scenario-driven lessons to triage issues consistently and escalate with confidence.

Study Time

58 Minutes

Align Security and Model Risk with Governance Expectations

Understand how technical controls, robustness testing, data pipelines, and deployment safeguards map to legal and governance requirements.

Understand how technical controls, robustness testing, data pipelines, and deployment safeguards map to legal and governance requirements.

See how to articulate technical risks in a way that legal, privacy, and leadership teams can act on.

Study Time

45 Minutes

Make Informed, Strategic AI Decisions

Gain a clear, non-technical understanding of what AI systems are, where risks materialise, and what effective oversight looks like in practice.

Learn how AI governance frameworks, global rules, model controls, and organisational roles fit together.

See what good risk management, accountability, and reporting structures look like - and how to evaluate whether teams are genuinely ready for AI adoption.

Study Time

45 Minutes