COURSE OVERVIEW

ITIL® AI Governance (Version 5) is intended to provide candidates with practical guidance for governing AI responsibly, effectively, and at scale – helping organizations and professionals capture AI’s benefits while managing its risks. In a world where AI is becoming the default, the qualification supports a holistic understanding of AI governance, combining proven principles with practical, role-aligned guidance.

The qualification helps candidates understand how to establish clear oversight and accountability for AI across functions; balance innovation, ethics, and compliance without compromising speed or agility; remain human-centric so people stay in meaningful control of AI outcomes; and scale AI responsibly to turn ambition into measurable, sustainable value. It also supports the use of a common language across teams to align governance, build trust, and accelerate responsible AI adoption across every AI-responsible role in the organization.

Duration: 2 days / 16 hours

Delivery Method: Classroom-based, Virtual Instructor Led Training

Course Objectives

By the end of this 2-day ITIL® AI Governance (Version 5) course, participants will be able to:

• Understand the fundamentals of AI and AI governance, including key concepts, terminology, opportunities, risks, and challenges.
• Understand the role of ITIL® in AI governance and how its principles can support responsible and effective AI adoption.
• Apply the ITIL AI Capability Model (6C model) to evaluate and strengthen organizational AI capabilities.
• Assess AI governance readiness by identifying governance gaps, risks, accountability requirements, and areas requiring improvement.
• Define and design AI governance requirements that balance innovation, ethics, compliance, risk management, and business objectives.
• Implement AI governance improvements using a structured and practical approach aligned with organizational needs.
• Establish effective oversight and accountability to ensure AI remains human-centric, responsible, transparent, and aligned with organizational values.
• Maintain, assure, and continually improve AI governance through appropriate governance mechanisms, stewardship, monitoring, and improvement practices.
• Understand compliance and regulatory considerations relevant to responsible AI and external alignment.
• Apply AI governance concepts to practical organizational scenarios, enabling participants to translate governance principles into actionable improvements and sustainable business value.