Overview

Course Benefits

ActiveLearning offers ITIL AI Training Philippines program equips professionals with practical, real-world skills to govern Artificial Intelligence responsibly within IT service management environments. By enrolling in this course, participants gain:

By the end of the day, participants won't just understand AI agents — they'll have already built one for their own job.

  • Globally recognized certification — Earn an industry-recognized ITIL AI Governance credential accepted by employers worldwide, giving Philippine professionals a competitive edge in the growing AI governance job market.
  • Practical AI governance skills — Learn to establish oversight, accountability, and trust across AI-enabled products and services using the ITIL AI Governance Improvement Model.
  • Risk and compliance readiness — Build the capability to identify AI risks (bias, privacy, hallucination) and apply governance controls that keep your organization compliant with evolving regulations.
  • Career advancement opportunities — Position yourself for in-demand roles such as AI Governance Lead, AI Adoption Lead, Product Manager, and Service Manager.
  • Balanced innovation and control — Learn how to scale AI adoption without compromising speed, ethics, or business value — a critical skill as more Philippine organizations integrate AI into daily operations.
  • Flexible, locally accessible training — This ITIL AI Training Philippines course is available through accredited local and virtual training providers, making certification accessible no matter where you're based in the country.

You Will Learn How To

Through this ITIL AI Training Philippines program, you will learn how to:

  • Apply the ITIL AI Capability Model to determine governance requirements for AI systems.
  • Design and implement AI governance controls — preventive, detective, and corrective — across your organization.
  • Assess AI governance maturity and identify gaps using the ITIL AI Governance Improvement Model.
  • Balance innovation, ethics, and regulatory compliance when adopting AI at scale.
  • Manage AI-related risks, including bias, data privacy, hallucination, and "Shadow AI."
  • Establish clear oversight and accountability for AI-enabled products and services.
  • Align AI governance practices with existing frameworks such as DevOps and PRINCE2.
  • Apply AI governance principles to real-world organizational and industry scenarios.

Who Should Attend

This ITIL AI Training Philippines course is ideal for:

  • IT Leaders and Managers overseeing AI-driven transformation
  • Digital Transformation Managers
  • Product Managers and Service Managers
  • Risk, Compliance, and Data Protection Officers
  • Solution Designers and Practice Owners
  • Business and IT Consultants
  • AI Governance Leads, AI Adoption Leads, and AI Delivery Leads
  • Project and Programme Managers involved in AI-enabled initiatives
  • Any professional in the Philippines responsible for, or impacted by, AI adoption within their organization

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

  • A basic understanding of IT service management concepts
  • Familiarity with ITIL practices or terminology
  • General awareness of governance or AI-related concepts (recommended, not required)

This open-entry structure makes the ITIL AI Training Philippines course an excellent starting point for professionals looking to build AI governance expertise, regardless of their prior ITIL background.

 

Course Outline

 

The AI World and the Need for AI Governance

AI opportunities/threats, how AI is changing the workplace, when AI goes wrong, the governance gap, what good looks like.

Key Concepts of Governance

Governance vs. management vs. leadership, corporate/IT/AI governance vs. regulation, how governance and management interact, governance in the ITIL Value System, risks of poor governance.

Key Concepts of AI and Why We Need AI Governance

AI types (Narrow, Generative, Agentic), when to use each, AI use cases across ITIL, key characteristics (learning, autonomy, opacity), AI risks (bias, privacy, hallucination), automation across the value chain.

Risk, Strategy, and the Consequences of Getting it Wrong

The ITIL AI Capability Model (6C), risk categories, ethical principles and countermeasures, applying the model to scenarios, how AI shapes strategy and Shadow AI.

ITIL as a Governance Toolkit

Guiding Principles, Product and Service Lifecycle Model, ITIL Value System, Four Dimensions, Maturity Model (incl. AI Maturity Model), Continual Improvement Model, Transformation Model.

The ITIL AI Governance Improvement Model, Assess and Design

Governance terms and four perspectives, why IT governance alone is insufficient, the AI governance lifecycle, four governance patterns, the ITIL AI Governance Model steps, readiness assessment.

The ITIL AI Governance Improvement Model, Implement and Maintain

Designing controls (preventive, detective, corrective), Shadow AI controls, ethics application, risk matrix (likelihood × impact), assurance/observability/monitoring, stewardship vs. control.

AI in Your World — Unlock AI in Your Role, Industry, and Organization

AI and business outcomes, use cases across industries/functions, digital strategy lifecycle, sustainability's role in value.

Connecting AI with Complementary Frameworks

How ITIL, PRINCE2, and DevOps complement AI governance; applying AI governance within DevOps and PRINCE2.