ITIL® (Version 5) AI Governance

Price
$2,385.00 USD

Duration
3 Days

Delivery Methods
Virtual Instructor Led
Private Group

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Course Overview

Artificial Intelligence is transforming every aspect of modern business, making effective governance essential for ensuring responsible, ethical, and sustainable AI adoption.

In this three-day instructor-led course, you'll learn how to establish governance structures that enable organizations to confidently adopt and scale AI while balancing innovation, compliance, risk management, and human oversight. Using the ITIL® AI Governance framework, you'll explore practical approaches for governing AI-enabled products and services, assessing AI risks, implementing governance controls, and continually improving AI governance capabilities.

Throughout the course, you'll apply governance concepts to realistic business scenarios while learning how AI governance integrates with existing ITIL practices, organizational strategy, and digital transformation initiatives.

What Is Included

ITIL® AI Governance (Version 5) certification exam
Live, Scheduled Course Delivered via Webinar Platform
Expert Instructor with Real-World & Teaching Experience
Course is Guaranteed to Run: We’ll Never Cancel a Course
Option to Reschedule Course (see conditions)
Option to Retake the Course for FREE (see conditions)

Course Objectives

Explain AI governance principles and their role within the ITIL framework.
Differentiate governance from management in AI-enabled organizations.
Understand AI capabilities, risks, ethical considerations, and governance requirements.
Assess AI governance maturity and organizational readiness.
Apply the ITIL AI Governance Model and Improvement Model.
Design governance requirements for AI-enabled systems.
Implement governance controls that support responsible AI adoption.
Monitor, assure, and continually improve AI governance.
Align AI governance with regulatory, ethical, and sustainability requirements.
Apply governance principles to real-world AI scenarios.
Prepare for the ITIL AI Governance (Version 5) certification exam.

Who Should Attend?

IT Leaders and Managers
AI Governance Officers
CIOs and CTOs
Digital Transformation Leaders
Product and Service Managers
Enterprise Architects
Risk, Compliance, and Security Professionals
Data and AI Professionals
IT Service Management Professionals
Business Leaders responsible for AI adoption

Top-rated instructors: Our crew of subject matter experts have an average instructor rating of 4.8 out of 5 across thousands of reviews.
Authorized content: We maintain more than 35 Authorized Training Partnerships with the top players in tech, ensuring your course materials contain the most relevant and up-to date information.
Interactive classroom participation: Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
Post Class Resources: Review your class content, catch up on any material you may have missed or perfect your new skills with access to resources after your course is complete.
Private Group Training: Let our world-class instructors deliver exclusive training courses just for your employees. Our private group training is designed to promote your team’s shared growth and skill development.
Tailored Training Solutions: Our subject matter experts can customize the class to specifically address the unique goals of your team.

Course Prerequisites

There are no formal prerequisites for this course. However, familiarity with IT service management concepts, digital transformation, or AI technologies is beneficial.

Agenda

Module 1: AI Governance Foundations

Introduction to AI Governance
AI Governance versus IT Governance
Governance versus Management
ITIL Guiding Principles
ITIL Value System
Product and Service Lifecycle
Four Dimensions of Service Management
ITIL Maturity Model
Continual Improvement
Transformation Model
Governance responsibilities and organizational value

Module 2: AI Fundamentals

AI concepts and terminology
Generative AI
Agentic AI
Narrow AI
AI characteristics and behaviors
AI opportunities and business value
AI across industries
AI-enabled digital transformation
Sustainability considerations
The ITIL AI Capability (6C) Model

Module 3: AI Risks, Ethics, and Strategy

AI risk categories
Ethical principles
Fairness
Transparency
Accountability
Human oversight
AI risk profiling
Bias and hallucinations
Data governance
Shadow AI
Strategic AI adoption
AI governance challenges

Module 4: ITIL AI Governance Framework

AI Governance perspectives
Governance lifecycle
AI Governance Model
AI Governance Improvement Model
Governance patterns
Governance maturity
Governance readiness assessment
Governance characteristics
Stress-testing governance

Module 5: Designing and Implementing AI Governance

Governance requirements
Decision authority
Human oversight
Governance controls
Preventive, detective, and corrective controls
Governance for Shadow AI
Supplier governance
Sustainability requirements
AI governance implementation
Governance roles and responsibilities

Module 6: Maintaining AI Governance

Governance assurance
Governance maturity indicators
Auditability
Traceability
Documentation
Monitoring AI governance
Metrics and observability
Continual improvement
Governance stewardship
Stakeholder feedback
Regulatory compliance
Third-party AI governance

Module 7: Practical Application of AI Governance

Governance scenario analysis
Governance maturity assessment
AI capability assessment
Governance gap analysis
Risk assessment
Governance design
Governance implementation
Monitoring governance effectiveness
End-to-end governance scenarios
Governance trade-off analysis
Practical exam-style exercises

Get in touch to schedule training for your team
We can enroll multiple students in an upcoming class or schedule a dedicated private training event designed to meet your organization’s needs.

CourseID: 3606955E