Understand what generative AI really is — large language models that predict text one token at a time — without needing a data science background. Learn how tokens, context windows and hallucinations shape what these tools can and cannot do, and how a well-structured prompt turns a disappointing experiment into genuine capability.
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Why generative AI matters for IT professionals — free to watch, no account needed.
What you'll learn
- Explain in plain terms how a large language model generates text one token at a time
- Describe how tokens, context windows and knowledge cutoffs shape what these tools can do
- Recognise why hallucinations happen and where human verification is essential
- Turn a vague prompt into a well-structured one that reliably improves output quality
- Produce a one-page Generative AI Quick-Reference Guide for your team
Syllabus
What Generative AI Really Is
Why generative AI matters for IT professionalsFree preview
How LLMs actually work — tokens and probability
Prompting and the Limits of the Model
Prompt engineering — turning vague into structured
Context windows, hallucinations and knowledge cut-offs
Applying Generative AI to Real IT Work
Practical uses of generative AI in IT delivery
Case study — the team that called it "just autocomplete"
Making Generative AI Stick
Your Generative AI Quick-Reference Guide
Common traps and how to avoid them