Who is this training for?
- Managers and executives involved in AI initiatives;
- IT, governance, risk, compliance and security professionals;
- Digital product and service owners;
- Architects, transformation leads and professionals involved in AI-supported decision-making;
- Professionals seeking to develop a structured and responsible approach to AI governance.
Training objectives
- Understand the fundamental principles of ITIL®, AI and AI governance;
- Assess AI-related benefits, opportunities, risks and impacts;
- Understand
how AI influences products, services, operations, decisions and organizational
processes;
Recognize the characteristics of effective and responsible AI governance; - Use the ITIL® AI Capability Model to support responsible and scalable AI adoption;
- Use the ITIL® AI Governance Improvement Model to structure AI governance improvement;
- Understand how regulatory requirements influence AI-related policies,
- Responsibilities and decisions;
- Integrate AI governance with other frameworks and methods;
- Prepare for the ITIL® AI Governance (Version 5) exam.
Summary
This course presents a practical approach to artificial intelligence governance based on ITIL® Version 5. It helps organizations adopt and deploy AI responsibly while maintaining clear accountability, ethical standards, regulatory compliance, trust and appropriate human oversight. Participants explore the ITIL® models dedicated to AI governance and capabilities, assess AI-related opportunities and risks, and learn how to integrate AI governance into products, services, operations and decision-making processes. The course prepares participants for the PeopleCert ITIL® AI Governance (Version 5) certification.
Course outline
1. ITIL®, AI Governance and AI Fundamentals
- Foundations of ITIL® and governance
- Essential artificial intelligence concepts
- Applying AI governance in an organizational context
2. AI Benefits and Risks
- Innovation and value creation
- Trust and accountability AI-related risks and controls
- Ethics, transparency and human oversight
3. AI in Organizational Contexts
- AI-supported products and services
- Operations and workflows
- AI-assisted decision-making
- Organizational impacts
4. Principles of Good AI Governance
- Characteristics of effective governance
- Roles, responsibilities and oversight
- Advancing governance maturity
5. ITIL® AI Capability Model
- Model overview
- Capabilities supporting AI adoption
- Using the model for responsible and scalable adoption
6. ITIL® AI Governance Improvement Model
- Assessing the current state
- Designing and implementing governance Improvement and ongoing maintenance
7. Regulation and Compliance
- Influence of global and national regulatory requirements
- Organizational policies and responsibilities
- Data protection and compliance
8. Integration with Other Frameworks and Methods
- Complementarity with other governance and management frameworks
- Integration into existing practices
- Application to organizational scenarios
9. Certification Preparation
- Review of key concepts
- Knowledge check questions
- Preparation for the official exam
Approach and methodology
- Interactive presentations of ITIL® concepts and models related to AI governance;
- Real-world examples and organizational scenarios;
- Analysis of risks, responsibilities and governance mechanisms;
- Exercises and knowledge check activities;
- Discussions with the instructor on applying the concepts in different contexts;
- Guided review and exam preparation questions.
Prerequisites
This course is part of the ITIL® Version 5 learning pathway. Check the applicable PeopleCert eligibility requirements when registering for the exam.
Recommendations
A general understanding of service management, governance, risk, compliance or organizational uses of AI is an asset.
Certifications
This course prepares participants for the official PeopleCert ITIL® AI Governance (Version 5) exam. The official exam voucher is included when the course is sold as a certification package that includes the exam.
