Course overview
This Foundation course introduces the AI Project Governance Framework (2nd edition), a recognised qualification that provides structured guidance for governing AI within projects and programmes. You’ll gain a clear understanding of responsible, ethical and effective AI use across delivery environments.
This three-day course develops awareness and understanding of AI governance principles, roles and lifecycle stages. You’ll explore how AI changes traditional project environments and learn how the framework supports ethical decision-making, risk management and accountability across AI-enabled initiatives.
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Who’s it for
Designed for professionals involved in leading, delivering, governing or assuring AI-enabled projects and programmes, including project managers, sponsors, PMO leaders, digital transformation leads and governance professionals.
What’s included
- Accredited AI Project Governance Framework training
- AI Project Governance Framework Foundation exam
- Tutor support
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Entry requirements
There are no formal prerequisites for attending the AI Project Governance Framework Foundation course.
Exam
The AI Project Governance Framework Foundation exam is a closed book, multiple choice assessment consisting of 40 questions. You will have 40 minutes to complete it and will need to score at least 20 out of 40 to pass, representing a 50% pass mark.
Course objectives
By the end of this course, you will have a clear understanding of AI governance principles and how to apply them across project and programme environments.
- Understand AI governance purpose and scope
- Explore the key differences between varying types of AI technology
- Examine important ethical and legal AI considerations
- Identify AI governance roles and responsibilities to enhance foundational knowledge
- Learn the essential framework principles and relevant core values
- Outline the aims, activities and deliverables across AI project lifecycle stages
Syllabus – key points
Gain an insight into how AI governance supports responsible project delivery. The course focuses on applying governance principles, managing ethical and legal considerations, and understanding roles, behaviours and lifecycle activities within AI-enabled projects.
- AI governance fundamentals You’ll explore the purpose, scope and terminology of the AI Project Governance Framework, gaining a clear understanding of why governance is essential when using AI in projects and programmes. This module introduces the framework structure and how it supports oversight, accountability and decision-making, helping you recognise where AI governance fits within wider organisational and project management processes.
- AI in project environments You’ll examine how AI differs from traditional computing and why those differences matter in project management. You’ll look at how AI systems introduce new risks, uncertainties and dependencies, and how these impact governance, assurance and delivery. The course builds awareness of how AI influences project outcomes and why tailored governance approaches are required.
- Ethical, legal and responsible AI adoption You’ll learn how ethical, legal and regulatory challenges arise when AI is used in projects and programmes. This course explains the difference between ethical, efficient and effective AI use, and why each matters. You’ll explore how the framework helps mitigate risks, supports responsible decision-making, and encourages behaviours that align with organisational values and societal expectations.
- Roles and lifecycle governance This course focuses on the key roles, responsibilities and behaviours required to govern AI effectively. You’ll review the framework’s lifecycle stages, including aims, activities and deliverables, and understand how governance evolves across each stage. The content helps you recognise who is accountable, what needs to be governed, and how governance supports successful AI-enabled delivery.
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