AI Foundations for Project Professionals
AI, Machine Learning, Generative AI and LLM fundamentals; capabilities, limitations and terminology relevant to delivery leaders
PROFESSIONAL DEVELOPMENT PROGRAM
Build practical AI literacy for project and program delivery and learn where AI can support planning, reporting, governance, risk analysis and decision support — while keeping human judgment and accountability at the centre
WHY THIS PROGRAM
AI is increasingly being incorporated into project delivery environments. Project and program professionals need more than tool familiarity: they need to understand where AI can add value, where its outputs require validation, and how governance and accountability remain part of responsible delivery
This program connects established project and program management practices with practical AI concepts so professionals can evaluate and use AI more effectively in their day-to-day delivery context
CURRICULUM
A practical bridge between AI literacy and project/program delivery
AI, Machine Learning, Generative AI and LLM fundamentals; capabilities, limitations and terminology relevant to delivery leaders
Where AI can support initiation, planning, execution, monitoring, reporting and closure activities
Using AI to support work breakdown, planning inputs, meeting synthesis, documentation and communication while validating outputs
Using AI to organise information, identify patterns, support risk analysis and prepare decision inputs without delegating accountability to AI
Privacy, security, bias, hallucinations, responsible use, approval boundaries and the role of human review
Supporting status reporting, summaries and stakeholder communications while maintaining context, accuracy and professional judgment
How AI projects introduce considerations around data, experimentation, evaluation, technical dependencies, adoption and cross-functional collaboration
Apply the concepts to realistic project/program situations and evaluate when AI assistance is useful, risky or inappropriate
LEARNING OUTCOMES
Explain core AI and Generative AI concepts in a project-management context
Identify practical opportunities for AI assistance across project and program activities
Use structured prompting and review techniques for common delivery scenarios
Recognise limitations, risks and governance considerations associated with AI-generated outputs
Distinguish tasks that can be AI-assisted from decisions that require human ownership
Approach AI-enabled initiatives with stronger delivery, stakeholder and governance awareness
WHO SHOULD ATTEND
No coding background is required
Basic familiarity with project or delivery environments will help participants relate the concepts to workplace situations
Instructor-led explanation, practical scenarios, demonstrations and guided exercises focused on professional application rather than AI model development
PROGRAM LEAD
Senior program management professional and PMP® certified trainer with 20+ years of technology-industry experience across program delivery, governance, stakeholder management and transformation initiatives
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Tell us which program you are interested in and we will share batch information when schedules are announced