ITIL® AI Governance v5 Virtual Live Online Course with Official PeopleCert Exam and 2 Exam Attempts.

ITIL® AI Governance (Version 5)

Govern AI Responsibly, Build Trust and Create Sustainable Business Value

ITIL® AI Governance (Version 5) provides practical guidance for governing artificial intelligence responsibly, effectively, and at scale. It helps professionals and organizations maximize the opportunities presented by AI while managing risks associated with ethics, privacy, security, compliance, accountability, transparency, and human oversight.

As AI becomes increasingly integrated into products, services, business processes, and organizational operations, effective governance is essential. This qualification combines established ITIL principles with practical, role-aligned guidance to help organizations establish appropriate oversight, make informed governance decisions, and scale AI responsibly.

Through structured learning, participants develop the knowledge and practical skills required to establish AI governance frameworks, define roles and accountability, balance innovation with responsible decision-making, and maintain meaningful human control over AI-enabled outcomes.

What Is ITIL® AI Governance?

ITIL® AI Governance combines ITIL principles with AI governance practices to help organizations manage AI opportunities and risks throughout the AI lifecycle. It provides a common language that enables leadership, governance, technology, product, service, risk, compliance, and operational teams to collaborate effectively.

The qualification helps learners understand how to:

• Establish clear oversight, decision authority, and accountability for AI.
• Balance innovation, ethical responsibility, regulatory requirements, and business objectives.
• Maintain meaningful human involvement in AI-enabled decisions and outcomes.
• Identify and manage risks such as bias, hallucinations, data leakage, model drift, and inappropriate autonomy.
• Scale AI adoption responsibly across products, services, operations, and organizational functions.
• Strengthen stakeholder confidence and trust in AI-enabled systems.
• Translate AI initiatives into measurable and sustainable organizational value.

What You Will Learn

ITIL, Governance and AI Fundamentals

Develop a solid foundation in ITIL, corporate governance, IT governance, and AI governance. Understand the difference between governance and management and how leadership, governance, and management interact to support effective decision-making and value creation.

Key ITIL concepts include:

• ITIL Value System
• ITIL Guiding Principles
• Product and Service Lifecycle Model
• Four Dimensions
• ITIL Continual Improvement Model
• ITIL Transformation Model
• ITIL Maturity Model
• AI Governance Maturity Assessment

AI Capabilities, Opportunities and Risks

Explore different forms of AI, including Generative AI, Agentic AI, and Narrow AI, and examine characteristics such as learning, autonomy, and opacity.

The course addresses important AI governance risks, including:

• Bias and unfair outcomes
• Hallucinations and inaccurate outputs
• Privacy and unauthorized data disclosure
• Model drift
• Data availability and quality
• Access-control misalignment
• Inappropriate levels of autonomy
• Regulatory and compliance exposure
• Third-party and supplier risks
• Operational and lifecycle risks
• Organizational readiness and skills gaps

Learn how proportionate countermeasures such as human oversight, explainability, bias assessments, output validation, access controls, audit trails, lifecycle monitoring, and AI literacy can support responsible AI governance.

The ITIL AI Capability Model

Learn to apply the ITIL AI Capability Model, also referred to in the syllabus as the 6C model, to understand AI behavior, use cases, risk exposure, and governance requirements.

You will explore how AI capabilities influence:

• Decision boundaries
• Human hand-offs and intervention
• Governance controls
• Risk profiles
• Experience and performance signals
• Oversight and accountability requirements

The course also examines how multiple AI capabilities can be combined within real-world AI solutions and how these combinations can affect system behavior and risk exposure.

The Four AI Governance Perspectives

Explore four interconnected perspectives that support effective AI governance:

1. AI autonomy and decision-making
2. Ethical and responsible AI
3. AI data quality and security
4. Regulatory compliance and operational practices

Understand how these perspectives contribute to trustworthy AI-enabled products, services, and experiences, and why traditional IT governance may require additional considerations for AI initiatives.

The ITIL AI Governance Improvement Model

Learn how to translate AI governance principles into practical improvements using the ITIL AI Governance Improvement Model.

The model covers:

• Assessing and stress-testing current AI governance
• Defining governance requirements
• Designing appropriate governance adjustments
• Implementing governance improvements
• Monitoring and continually improving governance
• Integrating assurance throughout the governance lifecycle

You will learn how to assess governance maturity, identify potential breaking points, define proportionate controls, and adapt governance as AI technologies, regulations, suppliers, and stakeholder expectations evolve.

Governance Patterns and Organizational Readiness

Understand four governance patterns—Directive, Guided, Federated, and Autonomous—and their implications for decision-making, authority, oversight, assurance, and AI adoption.

Learn how to assess an organization’s existing governance approach and determine whether it is appropriate for particular AI use cases or requires adjustment.

Shadow AI and Third-Party Governance

Understand the risks associated with unauthorized or unmanaged AI use, including limited visibility, data leakage, inconsistent decision-making, compliance exposure, and unclear accountability.

The course covers practical Shadow AI controls such as:

• Acceptable-use policies
• Approved AI tool catalogues
• AI use registers
• Access controls
• Monitoring and audit trails
• Employee guidance and AI literacy
• Escalation and reporting mechanisms

You will also explore governance considerations for supplier-provided and third-party AI services.

Regulation, Compliance and Sustainability

Understand how applicable AI regulations and compliance requirements can influence governance structures, policies, responsibilities, controls, assurance, and organizational decision-making.

The course also considers AI sustainability factors, including energy and water consumption, supplier commitments, environmental evidence, and the lifecycle impact of AI-enabled systems.

Practical Skills You Will Develop

Upon completing the training, you will be able to:

• Assess AI use cases, stakeholders, expected outcomes, risks, and sustainability considerations.
• Determine governance requirements based on autonomy, decision criticality, regulatory exposure, and organizational readiness.
• Establish appropriate decision authority, accountability, and human oversight.
• Design preventive, detective, and corrective governance controls.
• Apply risk matrices using likelihood and impact.
• Stress-test governance arrangements against realistic AI scenarios.
• Implement governance improvements through policies, workflows, roles, technology, training, and supplier arrangements.
• Use metrics, logs, traces, feedback, and assurance evidence to monitor governance effectiveness.
• Identify continual improvement opportunities using governance performance and maturity indicators.
• Evaluate trade-offs involving ethical principles, business objectives, delivery speed, operational performance, sustainability, and stakeholder trust.

Who Should Attend?

The ITIL® AI Governance (Version 5) qualification is suitable for professionals involved in AI adoption, governance, product and service management, organizational transformation, risk, compliance, technology delivery, and operations.

It is particularly relevant for:

• AI Governance Leads
• AI Adoption Leads
• AI Delivery Leads
• Product Managers
• Service Managers
• Service Designers
• Project Managers
• Programme Managers
• Transformation Leads
• Implementation Leads
• Operations Managers
• Risk and Compliance Professionals
• Data, Security, and Technology Leaders
• Governance, Audit, and Assurance Professionals

ITIL® AI Governance (Version 5) Examination

The ITIL® AI Governance (Version 5) examination assesses candidates’ understanding, application, and analytical ability across the concepts covered in the official syllabus.

Successful candidates who meet the examination requirements are awarded the ITIL® AI Governance (Version 5) qualification.

ITIL® AI Governance Examination Details

ITIL® AI Governance (Version 5) Examination

Candidates eligible for the language allowance are provided with 113 minutes to complete the examination. Training must be completed through an Accredited Training Organization, and PeopleCert requires proof of training completion before releasing the examination result.

Exam Topic Weighting

The examination evaluates candidates across understanding, practical application, and analytical ability, with questions aligned to Bloom’s Levels 2, 3, and 4.

Earn the ITIL® AI Governance Certification

Upon successfully passing the examination, candidates earn the ITIL® AI Governance (Version 5) certification from PeopleCert. The qualification demonstrates knowledge and practical understanding of responsible AI governance across products, services, operations, and organizational workflows.

Develop Practical AI Governance Skills

Build the capability to identify and manage AI-related risks, strengthen accountability, improve governance oversight, and support responsible AI adoption while maintaining organizational agility.

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• Format: Live Online

• Exam: Exam included (2 attempts)