Generative AI Foundations
What Generative AI is, where it fits within AI and how it differs from traditional automation
AI FOUNDATIONS PROGRAM
A practical, non-developer introduction to Generative AI and Large Language Models for professionals who want to understand capabilities, prompting, limitations and responsible workplace use
CURRICULUM
What Generative AI is, where it fits within AI and how it differs from traditional automation
Core LLM concepts, context, strengths, limitations and common terminology
Clear instructions, context, constraints, examples, iteration and output review
Drafting, summarisation, ideation, analysis support, knowledge work and productivity use cases
Hallucinations, outdated information, ambiguity, validation and appropriate human review
Privacy, confidential information, copyright awareness, bias and organizational policies
Choosing suitable tasks, structuring interactions and improving output quality
Guided professional scenarios using GenAI concepts and prompting techniques
LEARNING OUTCOMES
Explain Generative AI and LLM fundamentals in practical terms
Recognise appropriate professional use cases
Write clearer prompts using context, instructions and constraints
Evaluate GenAI outputs for relevance and reliability
Recognise privacy, bias and responsible-use considerations
Use GenAI tools more effectively for non-technical professional work
WHO SHOULD ATTEND
No coding or AI development background is required
Instructor-led explanation, scenarios, demonstrations and guided exercises focused on professional application

PROGRAM LEAD
Senior program management professional and PMP® certified professional with 20+ years of technology-industry experience across program delivery, governance, stakeholder management and transformation initiatives
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