AI fundamentals
A practical grounding in modern AI: how language models produce answers, why they get things wrong, how to prompt them well, and the privacy and honesty rules that keep you out of trouble.
By the end you'll be able to
- • Explain how a language model produces an answer
- • Judge which tasks AI can be trusted with and which it cannot
- • Write prompts that get usable results first time
- • Apply sensible privacy, disclosure and oversight rules
1. What AI actually is
The mechanics, in plain language.
2. Using it well
Prompts, real use cases and your first workflow.
3. Using it responsibly
Data, bias, credit and disclosure.
4. AI at work
Choosing tools and putting them to work in a small business.