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About Course Information

The ITIL® (Version 5) AI Governance Training Course explains how AI governance supports organisations in managing compliance requirements, maintaining service reliability, and ensuring that AI technologies operate in alignment with organisational objectives and established ITIL service management practices.

The Learning Curve

The ITIL® AI Governance (Version 5) Training Course explores the principles of AI governance and the role of governance in enabling the responsible use of Artificial Intelligence within organisations. It introduces AI concepts, governance terminology, AI capabilities, governance models, and the relationship between AI, organisational strategy, and ITIL® practices.

This instructor-led training develops practical understanding of AI governance using the ITIL AI Governance Improvement Model. It covers governance readiness assessment, governance design, implementation, continual maintenance, compliance considerations, and the application of AI across product and service lifecycle management activities.

We support delegates throughout their learning journey to build confidence in assessing, implementing, and maintaining AI governance practices. The course strengthens understanding of governance improvement, regulatory alignment, and stewardship while enabling professionals to apply AI governance approaches across organisational functions and industry scenarios.

Here is the launch schedule for ITIL® (Version 5) Courses:


1) ITIL® 5 Foundation: 12 February 2026

2) ITIL® 5 Foundation Bridge: 26 February 2026

3) ITIL® 5 Product, ITIL® 5 Service, ITIL® 5 Experience: 12 March 2026

4) ITIL® 5 Strategy: 9 April 2026

5) ITIL® 5 Transformation: 9 April 2026

6) ITIL® 5 Managing Professional (MP Transition): 14 May 2026
 

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There are no formal prerequisites for attending this ITIL® AI Governance (Version 5) Training Course. However, a basic understanding of Artificial Intelligence or organisational governance concepts will be beneficial for understanding the governance models and scenarios covered throughout the course.

Module 1: The AI World and the Need for AI Governance 
•       Introduction to AI 
AI Governance Key Terms and Concepts 

Module 2: What is Governance? 
Governance 

Module 3: What is AI and what can be Governed? 
Understand when to use Different Types of AI 
Describe Key Characteristics of AI
Describe AI Risks 

Module 4: When AI Governance Fails: Capabilities, Risks, and Controls 
The ITIL AI Capability Model 
AI Risks and Challenges 
AI and Strategy
AI Governance Key Terms and Concepts

Module 5: ITIL as a Governance Toolkit 
ITIL 
Describe how AI can assist in ITIL product and Service Lifecycle Management Activities 
How AI Enables Automation Across Value Chain Activities 

Module 6: ITIL AI Governance Improvement Model: 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) 
Holistic and End-to-End Scenario Application 

Module 7: ITIL AI Governance Improvement Model: Implement and Maintain 
Implementing AI Governance Adjustments (Implement step) 
Maintaining, Assuring, and Improving AI Governance (Maintain step) 
Governance Orientation, Stewardship, and Continual Improvement 
Compliance, Regulation, and External Alignment
Implementing AI Governance Improvements 
Maintaining the AI Governance System 
Holistic and End-to-End Scenario Application 

Module 8: AI in your World: unlock AI in your Role, Industry, and Organisational Function 
AI Value in Industries and Organisational Functions 
Scenario Context and Governance Baseline 

Module 9: Connecting AI Governance with Frameworks, Regulations, and Standards
The ITIL AI Governance Improvement Model and Governance Patterns 
Holistic and End-to-End Scenario Application

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Course Highlights

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Learning Objectives

Assess AI governance readiness using the ITIL AI Governance Improvement Model
Design and implement AI governance improvements aligned with organisational requirements
Apply AI governance practices across product and service lifecycle management activities
Evaluate AI governance approaches using governance patterns, compliance considerations, and end-to-end scenarios

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What’s Included

Gain everything you need to succeed in your ITIL Certification journey, from expert instruction to Certification support and post-training access.

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Training by Accredited ITIL® Experts

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Practical Case Studies & Scenarios

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Digital Delegate Pack

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Interactive course

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24/7 Tutor support

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AI-Based Learning Companion

Virtual Classroom Training

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You can join live classroom training (virtual) while staying at your home and feel safe.

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Expert Instructor Support

A dedicated instructor will be assigned throughout the training, to guide for any issues.

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Frequently Asked Questions?

The ITIL® AI Governance (Version 5) Training introduces the principles and practices required to govern Artificial Intelligence within organisations. It explores AI governance concepts, governance models, governance improvement approaches, and the role of ITIL in supporting effective AI governance.

This course is suitable for IT Professionals, Service Managers, Governance Professionals, AI Practitioners, Consultants, and Digital Transformation Professionals. It is also beneficial for individuals involved in implementing, managing, or improving AI governance within their organisations.

There are no formal prerequisites for attending this ITIL® AI Governance (Version 5) Training. However, a basic understanding of Artificial Intelligence, IT service management, or organisational governance concepts may help delegates engage more effectively with the course content.

The ITIL® AI Governance (Version 5) Training covers AI governance concepts, governance principles, AI characteristics, AI risks, and the ITIL AI Capability Model. It also includes governance improvement activities, compliance considerations, governance patterns, and organisational AI governance scenarios.

Yes, this course introduces the ITIL AI Governance Improvement Model and explains its assess, design, implement, and maintain stages. Delegates also explore governance readiness, governance improvements, and holistic scenario applications.

The course explains how ITIL acts as a governance toolkit for managing AI within organisations. It also demonstrates how AI supports product and service lifecycle management activities and enables automation across value chain activities.

Yes, delegates learn about AI risks, governance challenges, and governance failures that may affect organisational AI initiatives. The course also explores governance controls and the ITIL AI Capability Model.

Yes, this course includes holistic end-to-end scenario applications that demonstrate how AI governance concepts can be applied in practice. These scenarios reinforce governance improvement activities and organisational decision-making.

This course supports professionals aspiring to roles such as AI Governance Lead, AI Adoption Lead, AI Delivery Lead, Service Manager, Product Manager, Transformation Lead, Implementation Lead, Service Designer, Programme Manager, Project Manager, and Operations Manager. It also helps professionals strengthen their ability to support AI governance initiatives and governance improvements within organisational environments.

Upon completing this course, delegates will be able to assess AI governance readiness and implement governance improvements using ITIL approaches. They will also be able to apply AI governance practices across organisational functions and governance scenarios.

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