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Official Curriculum Brochure
An advanced, practitioner-focused program for professionals responsible for governing, managing and scaling AI across the enterprise. It establishes AI governance frameworks, policies, controls, lifecycle governance, third-party governance and compliance aligned with NIST AI RMF, ISO/IEC 42001, OECD AI Principles and the EU AI Act.
Every module combines concept clarity, live demonstration, structured hands-on practice, and role output.
Governance principles and objectives; NIST AI RMF, ISO/IEC 42001, OECD AI Principles, Microsoft Responsible AI, EU AI Act.
Governance structures, AI councils, roles, responsibilities and decision-making.
Acceptable use, AI policies, standards and governance controls.
Governance across design, procurement, deployment, monitoring and retirement.
Risk identification, classification, mitigation and monitoring.
Fairness, transparency, explainability, accountability, privacy; prompt injection, data protection and access controls.
Enterprise GenAI, foundation models, copilots and autonomous agents.
Vendor selection, procurement, due diligence; EU AI Act, ISO/IEC 42001, NIST AI RMF, emerging regulations.
Documentation, evidence, controls, audit readiness; monitoring, drift, incidents and corrective actions.
KPIs, KRIs, governance dashboards and maturity; enterprise AI governance programme design.
Discuss schedule, participant capacity, or enterprise dataset customizations with our learning architects.