ITIL® AI Governance v5 eLearning Self-Paced Training with Official PeopleCert Certification Exam (2 Attempts). – New Course Offer

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. The qualification helps professionals and organizations capture the opportunities created by AI while managing risks related to ethics, security, privacy, compliance, accountability, transparency, and human oversight.

As AI becomes increasingly embedded in products, services, operations, and business processes, effective governance is essential. ITIL® AI Governance (Version 5) combines established ITIL principles with practical, role-aligned guidance to help organizations establish appropriate oversight, make informed decisions, and scale AI responsibly.

Through self-paced eLearning, learners develop the knowledge and practical skills needed to establish governance structures, define accountability, balance innovation with responsible decision-making, and maintain meaningful human control over AI-enabled outcomes.

What Is ITIL® AI Governance?

ITIL® AI Governance brings together ITIL practices and AI governance principles to help organizations manage AI opportunities and risks throughout the AI lifecycle. It provides a common language for leadership, governance, technology, product, service, risk, compliance, and operational teams.

The qualification helps professionals understand how to:

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

What You Will Learn

ITIL, Governance and AI Fundamentals

Build a foundation in ITIL, corporate governance, IT governance, and AI governance. Understand the distinction between governance and management and how leadership, governance, and management work together to create and sustain value.

You will explore key ITIL concepts, including:

• 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

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

You will examine AI-related risks including:

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

You will also learn about proportionate governance controls, including human oversight, explainability, bias assessment, output validation, access controls, audit trails, lifecycle monitoring, and AI literacy.

The ITIL AI Capability Model

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

You will understand how AI capabilities can influence:

• Decision boundaries
• Human intervention and hand-offs
• 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 solutions and how this 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 conventional IT governance may need to be strengthened for AI-related initiatives.

The ITIL AI Governance Improvement Model

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

Key activities include:

• Assessing and stress-testing existing 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, establish proportionate controls, and adapt governance as technologies, regulations, suppliers, and stakeholder expectations evolve.

Governance Patterns and Organizational Readiness

Understand four governance patterns—Directive, Guided, Federated, and Autonomous—and how they affect authority, decision-making, oversight, assurance, and AI adoption.

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

Shadow AI and Third-Party Governance

Explore the governance challenges created by 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 examine 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 addresses AI sustainability considerations, including energy and water consumption, supplier commitments, environmental evidence, and the lifecycle impact of AI-enabled systems.

Practical Skills You Will Develop

After 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 based on 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 to:

• 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 analysis of the concepts covered in the official syllabus. Successful candidates are awarded the ITIL® AI Governance (Version 5) qualification.

Exam feature	Details
Exam format	Multiple-choice Objective Test Questions
Number of questions	40
Exam duration	90 minutes
Pass mark	70% – 28 correct answers
Negative marking	None
Exam type	Open book
Permitted material	Official ITIL AI Governance book only
Exam language	English
Delivery method	PeopleCert online web-proctored examination
Scenario	ITIL Car Rental Scenario
Additional time	25% additional time may be available when the exam language differs from the candidate’s native or working language

Examination Details

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

Exam Topic Weighting

Exam Topic	Weighting
Key Terms and Concepts	10%
AI Fundamentals	30%
AI Governance	45%
Practical Application of AI Governance	15%
Total	100%

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

Earn the ITIL® AI Governance Certification

Successfully passing the examination leads to the ITIL® AI Governance (Version 5) certification from PeopleCert. The qualification demonstrates knowledge of responsible AI governance and the ability to apply governance principles across AI-enabled products, services, operations, and organizational workflows.

Build Practical AI Governance Capability

Develop practical skills to identify and manage AI-related risks, strengthen accountability, enhance oversight, and support responsible AI adoption while maintaining organizational agility.

Enroll in the ITIL® AI Governance (Version 5) self-paced eLearning course to build your knowledge, prepare for the official PeopleCert examination, and study at your own pace.