ITIL® AI Governance (Version 5)

AI is changing every job. Knowing how to use it is only half the story. ITIL AI Governance (Version 5) gives you the practical skills to use and govern AI with confidence - helping you stand out, stay relevant and create real value in an AI-driven world.

ITIL provides a shared language and practical understanding of how modern organizations manage digital products and services. ITIL AI Governance (Version 5) extends these principles to help professionals apply oversight, accountability, transparency, and ethical safeguards to govern AI responsibly.

Advance your career with the ITIL® AI Governance course, crafted by the creators of ITIL®: Course, Online proctored exam voucher, Offical eBook and Online Training Material, all in one bundle!

ITIL® is a registered trademark of the PeopleCert group. Used under licence from PeopleCert. All rights reserved.

ITIL® AI Governance (Version 5) is designed for professionals responsible for managing, implementing, or overseeing AI within digital services and IT environments. It is particularly valuable for those who must ensure that AI technologies are implemented responsibly, ethically, and in accordance with established governance and regulatory frameworks.

This training may be beneficial to:

• IT Service Managers
• Business Leaders and Executive
• AI and Machine Learning Engineers
• Business and Data Analysts

There are no prerequisites to this course.

ITIL AI Governance (Version 5) is a standalone course and certification program designed to help organisations manage responsible AI adoption, scale AI responsibly by building practical capability in oversight, accountability, risk management, and trust.

It equips professionals with the knowledge and skills to apply AI governance across products, services, and operational workflows.

After attending this course, students will be able to:

• Understand the key concepts of ITIL and governance, including the differences between corporate governance, IT governance, AI governance, regulation, management, and leadership, and how their purposes, responsibilities, and decision-making differ.
• Understand the fundamentals of AI, including different AI types, their characteristics, capabilities, and risks such as bias, hallucinations, privacy concerns, and inappropriate autonomy.
• Explore how AI creates value through improved business outcomes, digital transformation, service management, automation, and strategy execution, while recognising associated opportunities and risks.
• Examine the ITIL AI Capability Model and how different AI capabilities influence behavior, risk exposure, governance requirements, decision-making, and human oversight.
• Learn the principles and practices of AI governance, including ethics, risk management, compliance, accountability, and oversight, and how organisations can assess readiness, implement controls, manage Shadow AI, monitor performance, and continually improve governance.
• Apply AI governance concepts to real-world scenarios by assessing AI use cases, evaluating governance maturity and risks, defining and implementing governance controls, and maintaining governance frameworks that balance business objectives, ethics, compliance, sustainability, and stakeholder trust throughout the AI lifecycle

 It will also prepare students for the examination leading to the ITIL® AI Governance (Version 5) Certificate from PeopleCert.

Governance in an AI World

• Understanding ITIL
• Introduction to AI
• AI Governance Key Terms and Concepts

What is Governance?

• Understanding Governance

What is AI and what can be Governed?

• Understand when to use Different Types of AI
• Describe Key Characteristics of AI
• Describe AI Risks

When AI Governance Fails: Capabilities, Risks, and Controls

• The ITIL AI Capability Model
• AI Risks and Challenges
• AI and Strategy

ITIL as a Governance Toolkit

• Describe how AI can assist in ITIL Product and Service Lifecycle Management Activities
• How AI Enables Automation Across Value Chain Activities

Assess and Stress-Test and Define and Design

• AI Governance Key Terms and Concepts
• The ITIL AI Governance Improvement Model and Governance Patterns
• Assessing and Stress-Testing AI Governance Readiness (Assess step)
• Defining Governance Requirements and Designing Adjustments (Design step)

AI Governance Improvement Model

• Implementing AI Governance Adjustments (Implement step)
• Maintaining, Assuring, and Improving AI Governance (Maintain step)
• Governance Orientation, Stewardship, and Continual Improvement
• Implementing AI Governance Improvements
• Maintaining the AI Governance System
• AI Value in Industries and Organisational Functions
• Scenario Context and Governance Baseline

Connecting AI Governance with Frameworks, Regulations, and Standards

• The ITIL AI Governance Improvement Model and Governance Patterns
• Compliance, Regulation, and External Alignment
• Holistic and End-to-End Scenario Application