Built for organisations where AI decisions don’t sit with one team.
PrinciplesAI gives privacy, legal, compliance, and leadership teams a shared understanding of how AI systems actually work, how risks emerge, and how governance decisions are made in practice.
When accountability is distributed, teams need a common reference point before decisions escalate.
Choose the learning pathway that reflects your responsibility.
Each track is designed to support the decisions your team is expected to make - and defend.
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Make AI decisions you can defend.
Apply privacy, data protection, and AI governance principles to real systems, not abstract models.
Understand how training data, model behaviour, and deployment choices affect DPIAs, documentation, and regulatory scrutiny - and how those decisions are viewed over time.
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
Evidence control across systems, vendors, and jurisdictions.
Understand how technical controls, robustness testing, data pipelines, and deployment safeguards map to governance and regulatory expectations.
Focus effort where it matters most - and demonstrate oversight when scrutiny arrives.
Make Informed, Strategic AI Decisions
Gain a clear, non-technical view of where AI risks arise, how accountability operates in practice, and where decisions ultimately sit.
Understand how governance frameworks, global rules, model controls, and organisational roles fit together - before issues reach the boardroom.
