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AI Governance Practitioner: Practical Enterprise AI Capability Building
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.
Six capabilities this program builds so you can govern AI at enterprise scale.
Design enterprise AI governance frameworks aligned to NIST AI RMF, ISO/IEC 42001 and the EU AI Act.
Establish AI governance operating models, councils and clear decision rights.
Identify, classify and mitigate AI risk across the enterprise AI lifecycle.
Govern enterprise Generative AI, copilots and autonomous AI agents with practical controls.
Evaluate AI vendors and third-party AI services through structured due diligence.
Prepare audit-ready evidence and monitor AI governance performance and compliance.
How the program moves you from global standards to a governance operating model you can implement.
Learn AI governance frameworks, operating models and enterprise value.
Design policies, controls and governance structures for your organization.
Evaluate AI risks and build mitigation strategies.
Apply governance across real business and regulatory scenarios.
Review governance failures and successful enterprise implementations.
Build and present a complete AI Governance Operating Model.
Learn AI governance frameworks, operating models and enterprise value.
Design policies, controls and governance structures for your organization.
Evaluate AI risks and build mitigation strategies.
Apply governance across real business and regulatory scenarios.
Review governance failures and successful enterprise implementations.
Build and present a complete AI Governance Operating Model.
Applied workshops and simulations pulled directly from the program's governance curriculum.
Design and present a complete Enterprise AI Governance Programme covering governance structures, policies, lifecycle controls, risk management, vendor governance, audit evidence and an implementation roadmap.
The program is grounded in NIST AI RMF, ISO/IEC 42001, the EU AI Act and IAPP's AIGP body of knowledge.
ChatGPT Enterprise · Microsoft Copilot · Gemini · Claude · Perplexity · Azure AI Foundry
NIST AI RMF · ISO/IEC 42001 · OECD · Microsoft Responsible AI · EU AI Act · IAPP AIGP
Microsoft Purview · Defender · Compliance Manager · Google Responsible AI Toolkit · AWS AI Guardrails · GRC Platforms
AI Risk Registers · Impact Assessments · Model & System Cards · Audit Logs · Governance Dashboards
Governance Operating Model · Policy Library · Risk & Vendor Assessment · Lifecycle · Compliance · Incident Response · Maturity Model
A preview of the modules inside the program. See the full breakdown in the detailed curriculum.
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.
Essential training on data privacy, hallucination verification, bias detection, intellectual property, and safe enterprise use.
Executive briefing on regulatory landscape, board accountability, enterprise risk appetite, and responsible AI governance.
Shadow AI—unauthorised artificial intelligence tools used by employees—is quietly creating massive security, compliance, and data leakage risks. Learn how enterprises can manage this hidden threat not by blocking AI, but through structured governance and enablement.
Public scrutiny of AI ethics is at an all-time high. Learn how ethical AI governance protects your brand, satisfies regulators, and builds the trust that scales AI.
Organisations are rushing to deploy LLMs, but without proper governance, scaling is impossible. Here's how to build an AI governance framework that lasts.
Every module, topic, activity and practical application, laid out in the detailed curriculum.