Overview
Course Benefits
ActiveLearning's ITIL AI Governance Training Philippines delivers the hands-on expertise required to manage and govern AI responsibly within IT service environments. Enrollees will gain the ability to:
- Turn AI ambition into measurable, sustainable value and return on investment (ROI).
- Scale the use of AI responsibly, with clear accountability and oversight across the organization.
- Balance innovation, ethics, and compliance without compromising speed or agility.
- Stay AI-native while remaining human-centric, ensuring that people maintain meaningful control over AI outcomes.
- Build a common language across teams to align governance efforts, foster trust, and accelerate responsible AI adoption.
- Gain a practical, globally recognized qualification that is part of the ITIL® 5 Qualification Scheme.
You Will Learn How To
Through this ITIL AI Governance Training course, you will learn how to:
- Define key AI concepts and explain how AI types, characteristics, and the ITIL AI Governance Capability Model influence AI behaviour, use cases, risks, and governance needs across industries and organizational functions.
- Explain how AI creates value, supports outcomes, and introduces benefits, risks, and trade-offs across industries, organizational functions, strategy, transformation, and sustainability.
- Describe AI risks, ethical principles, countermeasures, and how these shape AI governance requirements and controls.
- Use the ITIL AI Governance Improvement Model to assess and stress-test current governance, define requirements, design adjustments, implement improvements, maintain governance, and support assurance.
- Apply AI Governance across practical scenarios, complementary frameworks, regulation, suppliers, external standards, third-party AI Governance, and end-to-end delivery and operational environments.
Who Should Attend
This ITIL AI Governance Training course is designed for all organizations and people aiming to accelerate success with AI. It is relevant to:
- Existing ITIL-certified professionals expanding their skills into AI governance.
- Professionals across the wider PeopleCert portfolio, including PRINCE2 and DevOps Institute audiences.
- Anyone involved in governing, managing, or using AI within their organization — from leadership to hands-on practitioners.
- IT, risk, compliance, and governance professionals responsible for AI oversight and accountability.
- Managers and teams who need a shared, practical language for discussing AI risk, ethics, and value across functions.
Whether you're new to ITIL or transitioning from ITIL 4, this course is designed for professionals across industries who need governance awareness for responsible AI adoption.
Course Prerequisites
There are no prerequisites for this course. ITIL AI Governance is an extension module of the ITIL (Version 5) Qualification Scheme, and is open to all organizations and professionals whether or not they hold a prior ITIL certification.
Course Outline
Introduction
- AI in the organization
- Governance, management, and use of AI
- Benefits and risks of governance for organizations and professionals
- Key concepts of ITIL
- Official Book Structure
- The ITIL Car Rental Scenario
Introduction to AI
- Defining AI
- Types of AI
- Characteristics of AI
- The ITIL AI Capability Model
- AI as co-worker and the AI-enabled workforce
- Benefits and risks of AI adoption for organizations and professionals
- Key insights
AI value in industries and organizational functions
- AI and value co-creation
- AI in different industries and organizational functions
- AI and management frameworks
- Key insights
What makes good AI governance
- The need for AI governance
- Characteristics of good AI governance
- Governance orientation: control and stewardship
- Benefits and risks of AI governance for organizations and professionals
- ITIL Maturity and ITIL AI Governance Improvement models
- Key insights
The ITIL AI Governance Improvement Model
- Introduction to the ITIL AI Governance Improvement Model
- Step 1: Assess and stress-test the current governance system
- Step 2: Define requirements and design adjustments
- Step 3: Implement the improvements
- Step 4: Maintain the AI governance system
- Compliance, regulation, external alignment, and third-party AI governance
- Benefits of continual AI governance improvement for organizations and professionals, and the risks of neglecting it
- Key insights
Practical application of AI governance
- Story 1: The AI rush at ICR
- Story 2: The customer support assistant with unclear boundaries
- Story 3: The AI recruiter
- Story 4: Shadow AI in the brances
- Story 5: The dashboard says governance is working, But is it?
- Story 6: The AI Governance Board: scale, redesign, or pause?
- Key Insights
