ITIL v5 AI Governance Course with Exam

ITIL (Version 5) AI Governance introduces the fundamentals of governance, AI, and AI capabilities. It explores how AI creates value, what makes AI governance effective, and how to establish and adapt AI governance using the ITIL AI Governance Improvement Model.

Module 1: The AI World and the Need for AI Governance

• AI opportunities and threats
• How AI is changing the workplace
• When AI goes wrong
• The governance gap
• What good looks like

Module 2: Key Concepts of Governance

• Governance, AI governance, management and leadership
• Distinguishing corporate, IT and AI governance from regulation, and governance from management
• How governance and management interact to create value
• The concept of governance and its relevance across organizational contexts and functions
• Governance in the ITIL Value System
• The opportunities and threats of poor governance

Module 3: Key Concepts of AI and Why We Need AI Governance

• AI, AI maturity, and AI types including Narrow, Generative and Agentic AI
• When to use different types of AI
• AI use cases across ITIL and key characteristics (learning, autonomy, opacity)
• AI risks (bias, privacy, hallucination) and how AI assists lifecycle activities
• How AI enables automation across the value chain
• AI opportunities and threats

Module 4: Risk, Strategy, and the Consequences of Getting it Wrong

• The ITIL AI Capability Model (6C) and how its capabilities differ
• How capabilities shape governance, boundaries, risk profiling and combined behavior
• AI risk categories, ethical principles and countermeasures
• Applying the capability model and risk-control reasoning to scenarios
• How AI shapes strategy and alignment, and how Shadow AI affects them

Module 5: ITIL as a Governance Toolkit

• How the use of products and services enables value co-creation
• The ITIL Guiding Principles
• The ITIL Product and Service Lifecycle Model
• The ITIL Value System (ITIL VS) and its components
• The ITIL Four Dimensions and its elements
• The ITIL Maturity Model (including the ITIL AI Maturity Model)
• The ITIL Continual Improvement Model
• The ITIL Transformation Model

Module 6: The ITIL AI Governance Improvement Model: Assess and Design

• Key AI governance terms and the four governance perspectives
• Why IT governance is insufficient
• The AI governance lifecycle and good-governance traits
• The four governance patterns
• The ITIL AI Governance Model and its steps
• Assessing and stress testing AI governance readiness
• Determining governance requirements

Module 7: The ITIL AI Governance Improvement Model: Implement and Maintain

• Designing governance controls (preventive, detective, corrective) and decision boundaries
• Designing Shadow AI controls, applying ethics, and using a likelihood × impact risk matrix
• Ensuring effectiveness – assurance, observability, monitoring and continual improvement
• Stewardship vs. control and the role of continual improvement
• Applying compliance, third-party and end-to-end governance

Module 8: AI in Your World: Unlock AI in Your Role, Industry, and Organizational

• How AI supports business outcomes and value co-creation
• AI use cases across industries and organizational functions
• How AI supports the digital strategy lifecycle and transformation
• AI's opportunities and threats, and how sustainability shapes value
• Interpreting a scenario, assessing its AI use cases, and applying sustainability

Module 9: Connecting AI with Complementary Frameworks

• How ITIL, PRINCE2 and DevOps provide complementary approaches for AI-enabled work
• How the ITIL AI Governance Model integrates with other frameworks and methods
• Applying AI governance within DevOps
• Applying AI governance within PRINCE2