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ITIL AI Governance (Version 5) Certification Training

Course 1387
2 DAY COURSE
Price:
Course Outline

The ITIL® AI Governance (Version 5) course provides learners with practical guidance for governing AI-enabled products, services, and experiences. Participants learn how to establish governance structures, assess AI risks, implement ethical controls, maintain regulatory compliance, and apply continuous improvement practices to AI initiatives.

ITIL AI Governance (Version 5) Certification Training Benefits

  • This ITIL AI Governance (Version 5) Training course includes:

    • Accredited course content and curriculum
    • ITIL AI Governance (Version 5) Exam
    • Official Training Materials
    • PeopleCert Plus Membership
    • Practice questions and certification preparation resources

    In this ITIL AI Governance course, you will learn the following:

    • Core AI governance concepts and terminology
    • AI risks, ethical principles, and governance controls
    • The ITIL AI Capability Model and AI Governance Improvement Model
    • Governance patterns, accountability, and oversight mechanisms
    • AI governance lifecycle management
    • Human oversight and decision boundaries
    • AI governance maturity assessment and continuous improvement
    • Regulatory, compliance, and third-party governance considerations
    • Practical application of AI governance in real-world scenarios
    • How to prepare for and pass the ITIL® AI Governance certification exam

    ITIL AI Governance (Version 5) Training Prerequisites

    Participants must hold ITIL 4 Foundation or ITIL (Version 5) Foundation certification.

    ITIL AI Governance (Version 5) Certification Information

    To earn the ITIL AI Governance (Version 5) certification, you must sit for and pass the ITIL AI Governance (Version 5) examination through PeopleCert's online proctoring service.

ITIL AI Governance (Version 5) Training Outline

Learning Objectives

Module 1: The AI World and the Need for AI Governance

  • Why AI governance matters
  • AI maturity and governance readiness
  • AI as a tool, assistant, co-worker, and workforce
  • Characteristics of effective AI governance

Module 2: Governance Foundations

  • Governance, management, leadership, and AI governance
  • Corporate, IT, and AI governance
  • Governance patterns and accountability
  • Benefits and risks of governance approaches

Module 3: AI Fundamentals

  • Types of AI including Generative and Agentic AI
  • AI capabilities and characteristics
  • AI value creation and business outcomes
  • AI risks including bias, privacy, and hallucinations

Module 4: AI Risks, Ethics, and Governance Controls

  • AI Capability Model (6C Model)
  • Governance perspectives and risk categories
  • Ethical AI principles
  • Risk mitigation and governance controls

Module 5: ITIL as an AI Governance Toolkit

  • ITIL Value System and governance
  • Product and service lifecycle integration
  • ITIL guiding principles for AI governance
  • Maturity, continual improvement, and transformation models

Module 6: The ITIL AI Governance Improvement Model

  • Assess and stress-test governance readiness
  • Define governance requirements
  • Design governance adjustments
  • Governance patterns and adaptation strategies

Module 7: Implementing and Maintaining AI Governance

  • Governance implementation pathways
  • Decision boundaries and human oversight
  • Monitoring and observability
  • Assurance, auditability, and continual improvement

Module 8: Compliance, Regulation, and Practical Application

  • AI governance in regulated environments
  • Third-party AI governance
  • Governance maturity and assurance

End-to-end governance application scenarios

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