Academy · 01
AI Fundamentals
No mathematics, no jargon and no promises about robots. What these systems actually are, what they are genuinely good at, where they fail, and how to tell the difference between a useful tool and an expensive demo. By the end you can hold your own in a conversation about AI without pretending.
- 6 modules · about 4 hours
- Introductory
- Live cohort online, plus self-paced material
What we cover
- 01What a model is, and what it is doing when it answers you
- 02What AI is reliably good at — and the specific things it gets wrong
- 03Writing prompts that get useful work back, with practice
- 04Where your data goes, and what you should never paste in
- 05Reading an AI claim critically: demo versus deployed system
- 06Finding the work in your own job that this could take away
What you leave with
- A working vocabulary you can use in a meeting without bluffing.
- A personal set of prompts for the tasks you do every week.
- A clear sense of what is safe to put into these tools and what is not.
- A shortlist of tasks in your own role worth automating.
Who it's forAnyone who has to work near AI and is tired of nodding along — administrators, operations staff, marketers, teachers, clinicians.
Training a whole team?
Corporate cohorts are taught privately, rebuilt around your own operation and your own examples. Tell us the team and the problem, and we will propose the shape.