AI Project Governance Framework (AIPGF) Foundation And Practitioner Training in Taipei

AI Project Governance Framework (AIPGF) Foundation and Practitioner Course Outline

Module 1: Introduction to the AI Project Governance Framework (AIPGF)

• Purpose and Objectives of the AIPG Framework
• Scope: Ethical, Efficient, and Effective AI Use
• Target Audience and Applicability
• AIPGF Scalability and Flexibility for different Organisational Contexts

Module 2: AI in Project Management

• Human-in-the-Loop Rule (HITL) and its Importance
• How AI Differs from Traditional Computing
• Disciplines Relevant to AI in Project Management
• Evolution of AI in Project Management and Future Trends
• Examples of AI Assistance use Cases in Projects and Programmes
• AI Tools and Data Dilemmas
• Technical, Ethical and Regulatory Challenges in AI Adoption

Module 3: Overview of the AIPGF Structure

• AIPGF Life Cycle Stages
• AIPGF Elements and their Interrelationships
• AIPGF Implementation: Method vs Mindset
• Integration Strategies with Existing Methodologies

Module 4: Key AIPGF Roles and Responsibilities

• Core Roles and Responsibilities
• Additional Roles and Responsibilities
• Flexible Role Assignment Strategies
• Creating a Project Governance Structure Incorporating AI Governance Roles

Module 5: AIPGF Principles

• Human-Centricity Principle
• Transparency Principle
• Adaptability Principle

Module 6: AIPGF Core Values

• Accountability
• Sensibility
• Collaboration
• Curiosity
• Continuous Improvement

Module 7: AIPGF Core Behaviours

• Accountability Core Behaviours
• Sensibility Core Behaviours
• Collaboration Core Behaviours
• Curiosity Core Behaviours
• Continuous Improvement Core Behaviours

Module 8: AIPGF Life Cycle Stage Aims, Activities and Deliverables - Part 1

• Apply AI Governance in Projects and Programmes (Foundation Stage)
• Apply AI Governance in Projects and Programmes (Activation Stage)
• Apply AI Governance in Projects and Programmes (Evaluation Stage)
• Apply AI Governance in Projects and Programmes (Creating a bespoke Activities and Deliverables Checklist Stage)

Module 9: AIPGF Life Cycle Stage Aims, Activities and Deliverables - Part 2

• Practically Apply AI Governance in Projects and Programmes
  • Foundation Stage
  • Activation Stage
  • Evaluation Stage
  • Creating a Bespoke Activities and Deliverables Checklist Stage
• Differentiate Between Appropriate and Inappropriate Application of the AIPGF Governance in Use Case Scenarios
  • Foundation Stage
  • Activation Stage
  • Evaluation Stage

Module 10: Benchmarking with the AIPG-CMM (AI Project Governance Capability Maturity Model)

• Structure of the AIPG-CMM
  • Understanding CMMs in General
  • Maturity Levels and their Characteristics
  • The AIPG-CMM Pillars
• Practically Apply AIPG-CMM in Projects and Programmes
  • Completing the Assessment and Governance Maturity Improvement Planning
  • Measuring and Monitoring Maturity Progress, and Governance Maturity Improvement Planning
• Differentiate between Appropriate and Inappropriate Application
  • Whether the Assessment has been Completed Appropriately for a given Scenario
  • Whether the Measuring and Monitoring of Maturity Progress, and Governance Maturity Improvement Planning

Module 11: AIPGF Implementation and Tailoring

• Case Studies: Tailoring the Framework to Organisational Needs
• Understanding and Overcoming AI Adoption Challenges in Project Environments
• Championing Ethical, Efficient and Effective Human-AI Project Collaboration

Who Should Attend this AI Project Governance Framework (AIPGF) Foundation and Practitioner Training?

This AI Project Governance Framework (AIPGF) Foundation and Practitioner Training is designed for professionals responsible for governing, managing, implementing, or overseeing AI initiatives within their organisations. It is particularly beneficial for professionals such as:

• Portfolio Leaders
• Strategic Programme Office (SPO)
• Project Management Office (PMO)
• Enterprise PMO Leaders
• Project Sponsors
• Steering Committees/Boards
• Programme Managers
• Project Managers
• Chief AI Officers
• Digital Transformation Leaders
• Internal and External Auditors

Prerequisites for the AI Project Governance Framework (AIPGF) Foundation and Practitioner Training

There are no formal prerequisites for attending this AI Project Governance Framework (AIPGF) Foundation and Practitioner Course. However, a basic understanding of project management, organisational governance, or Artificial Intelligence concepts can help delegates gain maximum value from the training.

AI Project Governance Framework (AIPGF) Foundation and Practitioner Training Overview

The AI Project Governance Framework Foundation and Practitioner introduces delegates to the principles of governing Artificial Intelligence initiatives. The course explains governance frameworks, accountability, and risk management for AI projects. It supports organisations in delivering AI projects responsibly and in line with governance requirements.

Delegates learn to establish AI governance frameworks, manage project risks, and define roles and responsibilities. The course develops knowledge of governance policies, ethical considerations, and compliance practices. These skills help delegates support effective decision-making and improve AI project oversight.

This 4-day AIPGF Foundation and Practitioner Course by The Knowledge Academy enables delegates to apply AI governance practices across AI project lifecycles. Delegates can strengthen governance processes, manage AI-related risks, and support regulatory compliance within their organisations. These capabilities contribute to responsible AI adoption, improved project outcomes, and effective organisational governance.

AI Project Governance Framework (AIPGF) Foundation and Practitioner Training Objectives

• To understand the principles of AI project governance and governance frameworks 
• To develop knowledge of AI risk management, compliance, and accountability practices 
• To learn how to establish governance roles, policies, and decision-making processes 
• To understand ethical AI principles and responsible AI implementation strategies 
• To strengthen the ability to identify, assess, and manage AI-related risks 
• To apply AI governance practices to support effective project delivery and organisational objectives 

Upon completing this AI Project Governance Framework Foundation and Practitioner Course, delegates will be able to establish AI governance frameworks, manage AI-related risks, and support responsible AI implementation across projects.

What’s Included in this AI Project Governance Framework (AIPGF) Foundation and Practitioner Training?

• World-Class Training Sessions from Experienced Instructors
• Digital Delegate Pack
• Interactive Learning with 24*7 Support

AI Project Governance Framework (AIPGF) Foundation Exam

The AI Project Governance Framework (AIPGF) Foundation Exam assesses delegate understanding of the core principles, governance framework, roles, responsibilities, and ethical practices required for effective AI project governance. It evaluates knowledge of AI governance concepts, compliance, risk management, and the application of governance principles. The exam format includes: 

• Question Type: Multiple Choice  
• Total Questions: 40  
• Total Marks: 40 Marks  
• Pass Mark: 50%, or 20/40 Marks  
• Duration: 40 Minutes  
• Open Book/Closed Book: Closed Book 

AI Project Governance Framework (AIPGF) Practitioner Exam Information 

The AI Project Governance Framework (AIPGF) Practitioner Exam assesses delegate ability to practically apply and tailor the AI Project Governance Framework in real-world project and programme environments. It evaluates knowledge of governance lifecycle stages, capability maturity assessment, framework implementation, and ethical human-AI collaboration. The exam format include: 

• Question Type: Complex Multiple Choice 
• Total Questions: 4 
• Total Marks: 80 Marks 
• Pass Mark: 50%, or 40/80 Marks 
• Duration: 2 Hours 
• Open Book/ Closed Book: Closed Book