ITIL® AI Governance (Version 5) with Exam
As AI becomes embedded in digital services, governance becomes a critical enabler of trust and accountability. Clear structures, defined responsibilities, and robust compliance frameworks are essential for operating AI-driven processes sustainably.
Key topics
- Developing and applying governance frameworks for AI-driven processes
- Risk identification, assessment, and handling of compliance obligations
- Core principles and ethical foundations of Responsible AI
- Incorporating AI systems into existing service value streams
- Ensuring traceable and documented decision-making processes
- Connecting ITIL®, artificial intelligence, and strategic business objectives
Prerequisite
A basic understanding of IT service management, digital workflows, or governance concepts supports an effective learning experience.
Target group
Suitable for professionals who are responsible for the deployment, management, or oversight of AI systems within their organisation – for example in IT, digital transformation, security, compliance, or service management.
Sustainable AI adoption requires more than technical skills. This training provides the conceptual foundation to connect governance principles with everyday AI-driven operations.
Registration for an ITIL® course includes mandatory participation in the corresponding certification exam. The exam fee is already included in the total price of the course. ITIL®, PRINCE2®, PRINCE2 Agile®, MSP®, M_o_R®, P3O®, MoP®, MoV®, AgileSHIFT®, and the Swirl logo are registered trademarks of the PeopleCert Group. They are used under license from PeopleCert. All rights reserved.
- Embedding AI governance within the ITIL® framework
- Management, oversight, and accountability for AI-driven services
- Traceability and documentation requirements for AI-based decisions
- Analysing impacts on customers, employees, and the wider organisation
- Stages of AI implementation: design, rollout, and ongoing operations
- Continuous improvement, monitoring, and quality assurance for AI applications
- Identifying and handling bias, risk factors, and compliance obligations
- Applying ethical guidelines and measures to build trust in AI systems
- Openness and traceability as key requirements for AI-powered systems
- Accountability structures and governance measures for targeted risk reduction
Up to 100% funding for your continuing education
Attractive funding opportunities are available for numerous continuing education programs – depending on the funding program, up to 100% funding is possible.
The requirement is that you live or work in Germany. Our funding opportunities are not available outside of Germany.
Funding opportunities are available for career starters, job seekers, career changers, startups, experienced professionals, those seeking career advancement, and specialists.
- AI systems increasingly shape decisions, workflows, and service processes. Defined governance structures promote transparency and help reduce operational risks in a targeted way.
- Topics include governance guidelines, compliance requirements, risk management, ethical principles, and strategies for AI-driven IT services.
- Clear governance strengthens the ability to steer AI processes, improves decision quality, and increases the reliability of digital services and automated workflows.
- Poor traceability, unclear responsibilities, and missing compliance structures lead to elevated operational risks and can undermine the safe operation of AI systems.
- Relevant resources include structured governance models, AI analytics platforms, risk management tools, and automated service management solutions.
- Particularly valuable for professionals working in IT service management, digital transformation, compliance, security, or AI operations who hold governance responsibilities in their roles.
- As AI systems exert a growing influence on IT services, ITIL® 5 provides a framework that combines innovation with clear control mechanisms and accountability structures.
- The certificate demonstrates proven knowledge in AI governance and increases professional visibility in the fields of modern IT service management and AI expertise.