ITIL® (Version 5) AI Governance Certification

Overview

🕮 Off the shelf (OTS)

ITIL® AI Governance (Version 5) provides practical guidance for governing AI responsibly, effectively, and at scale. This course is designed for professionals responsible for ensuring AI is adopted safely, ethically and effectively. The course helps learners understand how organisations can establish oversight and accountability for AI, manage AI-related risks, support ethical and compliant AI use, and scale AI adoption in a controlled and sustainable way.

This course included the exam voucher, and prepares learners for the ITIL® AI Governance (Version 5) certification exam. The exam is open book, is to be sat on PeopleCert’s online web proctoring portal, and includes 40 multiple-choice questions, allows 90 minutes, and requires a score of 28 out of 40 to pass.

Course Outline
ITIL® AI Governance (Version 5) Training Course Outline
Key Terms and Concepts
• ITIL concepts, guiding principles, value system, four dimensions, maturity model, continual improvement, and transformation model
• Governance, management, leadership, regulation, corporate governance, IT governance, and AI governance
• Governance systems, accountability, risk management, compliance, and value creation

AI Fundamentals
• Generative AI, agentic AI, and narrow AI
• AI characteristics such as learning, autonomy, and opacity
• AI risks such as bias, privacy, hallucination, and data quality
• AI value across industries, business functions, services, and value chains
• ITIL AI Capability Model and AI risk profiling

AI Governance
• AI governance perspectives: autonomy and decision-making, ethical and responsible AI, data quality and security, and regulatory compliance and operational practices
• AI governance lifecycle
• Governance patterns and governance maturity
• Shadow AI risks and governance controls
• AI governance improvement model
• Governance requirements, decision authority, human oversight, escalation, controls, monitoring, and assurance

Practical Application of AI Governance
• Assessing an organizational AI governance baseline
• Identifying governance gaps, weaknesses, risk exposures, and breaking points
• Defining governance requirements for AI use cases
• Applying governance controls and implementation pathways
• Monitoring governance performance and recommending improvements
• Evaluating trade-offs between ethics, business objectives, sustainability, governance effectiveness, and stakeholder trust

Successful completion of this course requires access an external online assessment. The online assessment platform may not be accessible from Civil Service department IT due to security restrictions. If you have any questions or believe you may be impacted by these restrictions, please contact support@governmentcampus.co.uk.

Please note – data may be processed in countries with adequacy agreements in place.