01Governance Foundations
Purpose, principles, accountability and sociotechnical context.
02AI Systems & Lifecycle
Purpose, data, development, testing, deployment, monitoring and retirement.
03Risk Management
Enterprise risk, NIST AI RMF, treatment, registers and residual risk.
04Law, Regulation & Policy
Global rules, privacy, intellectual property, employment and sector duties.
05AI Management Systems
ISO/IEC 42001 concepts, leadership, operations, audit and improvement.
06Responsible Operations
Inventories, assessments, oversight, transparency, fairness and evidence.
07Third-Party & Generative AI
Procurement, contracts, foundation models, data handling and exit planning.
08Program Implementation
Committees, policies, metrics, training, change and exam preparation.