ITIL® AI Governance (Version 5) Training Course, Certification & Exam
Governing Artificial Intelligence Responsibly Across the Enterprise
Interface Gold
Artificial Intelligence is changing every organization—but successful AI adoption requires more than powerful technology. Organizations need governance that enables innovation while maintaining accountability, trust, compliance, and business value.
The ITIL® AI Governance (Version 5) course provides practical guidance for governing AI responsibly, effectively, and at scale. Participants learn how to establish governance structures that support AI adoption across products, services, business functions, and enterprise operations while managing ethical, operational, and regulatory risks.
Throughout the course, students explore the relationship between governance, leadership, management, IT governance, and AI governance. They learn how AI creates value, introduces new risks, and changes organizational decision-making while applying the ITIL AI Governance Model and Improvement Model to real-world scenarios.
The course combines governance theory with practical implementation strategies, helping organizations balance innovation with compliance, improve AI accountability, and build sustainable AI operating models that accelerate business value.
By the end of the course, participants will understand how to design, implement, assess, and continually improve AI governance using globally recognized ITIL best practices while preparing for the official ITIL® AI Governance certification exam.
Mark Thomas brings more than 25 years of experience spanning Datacenter CIO, IT consulting, and board-level advisory roles. He is an internationally recognized practitioner in enterprise risk, compliance, and AI governance. Mark has designed and implemented governance programs across multiple industries and develops certification content for multiple governance and AI credentials. His AI governance work focuses on making governance operationalized, defensible, and demonstrable.
Mark’s areas of expertise include:
- AI governance, risk, and assurance (ISO/IEC 42001, NIST AI RMF)
- IT governance design and implementation (COBIT, ITIL®)
- Enterprise risk management and digital trust
- Board and executive advisory
- IT strategy and business alignment
- Certification and course content development
ITIL® is a registered trademark of the PeopleCert group. Used under licence from PeopleCert. All rights reserved. PeopleCert DevOps™ is a trademark of the PeopleCert group. Used under licence from PeopleCert. All rights reserved.
- $2,710
- 2.5 Days, Labs, Live Q&A
- Official ITIL® AI Governance Version 5 Training
- Master Instructor Mark Thomas
- Includes Certification Exam Preparation
- Includes PeopleCert Exam Voucher
- Practical AI Governance Frameworks and Real-World Case Studies
- Replay™ Class Recordings Included
Course Outline
Module 1 – The AI World and the Need for AI Governance
- Why AI governance matters
- AI opportunities and risks
- Governance maturity
- AI as a tool, assistant, and co-worker
- Governance failures and lessons learned
Module 2 – What is Governance?
- Governance vs. management
- Leadership and accountability
- Corporate, IT, and AI governance
- Governance activities
- Governance patterns and ITIL Value System
Module 3 – What is AI and Why We Need AI Governance?
- AI fundamentals
- AI maturity
- Narrow AI
- Generative AI
- Agentic AI
- AI characteristics
- AI risks
- AI throughout the product and service lifecycle
Module 4 – Risk, Strategy, and the Consequences of Getting it Wrong
- AI strategy
- Risk management
- Ethics
- Sustainability
- Governance trade-offs
- Shadow AI
Module 5 – ITIL as a Governance Toolkit
- ITIL AI Governance Model
- Governance capabilities
- Organizational alignment
- Decision authority
- Governance practices
Module 6 – Assess and Design AI Governance
- Current-state assessment
- Governance maturity
- Gap analysis
- Governance design
- Governance planning
- ITIL AI Capability Model
- Stress-testing governance and breaking points
Module 7 – Implement and Maintain AI Governance
- Governance implementation
- Operating models
- Continuous monitoring
- Assurance
- Continual improvement
- Governance controls (preventive, detective, corrective)
- Third-party and supplier AI
Module 8 – AI in Your Organization
- Industry use cases
- Functional adoption
- Governance across departments
- Organizational transformation
Module 9 – Connecting AI with Complementary Frameworks
- Governance ecosystem
- Standards
- Regulations
- Third-party AI Enterprise integration
Audience
ITIL® AI Governance is designed for professionals responsible for governing, managing, implementing, or overseeing Artificial Intelligence initiatives.
Ideal attendees include:
- CIOs
- CTOs
- Chief Digital Officers
- AI Program Managers
- Enterprise Architects
- IT Directors & Managers
- Product Managers
- Service Management Professionals
- Information Security Leaders
- Risk & Compliance Professionals
- Governance Professionals
- Technology Consultants
- Digital Transformation Leaders
- Anyone responsible for enterprise AI adoption
Prerequisites
There are no mandatory prerequisites for attending this course.
This course is appropriate for professionals beginning their AI governance journey as well as experienced IT leaders, governance professionals, and executives seeking practical AI governance guidance.