For working professionals

Use AI at work, and stand behind the result

Most of the value is in ordinary work: drafting, summarising, researching and analysing. Your path starts with prompting and checking, then the data rules that keep you and your employer on the right side of UK GDPR, with lessons that put the tools you already use first.

Sound familiar?

What usually gets in the way

  • Answers that sound confident but need rewriting, or checking line by line
  • No clear answer on what you're allowed to paste into which tool
  • Advice written for someone else's tools, not the ones your organisation gives you
What you get

What changes

  • Prompts that get usable work first or second time, saved as templates you and your team can reuse
  • A sign-off habit matched to the stakes, from an internal note to a client report
  • A working grasp of UK GDPR as it applies to AI, and of each tool's data-training settings
  • Practice in the Lab, where an AI coach gives feedback on what you write
Your path

What comes first for working professionals

Everyone gets the same 18 released modules. What differs is the order — and what the placement check lets you skip. For working professionals, the path leads with these:

  1. 01
    Prompting well

    Context, examples, structure and iteration: how to ask for what you actually want, and get it the first or second time.

  2. 02
    AI for writing, research and analysis

    Drafting, summarising, researching and analysing data with AI, with the checking habits that keep your name safe on the result.

  3. 03
    Checking AI's work

    Fact-checking, source-checking and spotting hallucinations: the habits that turn a fluent draft into something you can sign off.

  4. 04
    Data, privacy and your workplace

    What not to paste, how UK GDPR applies, training settings in each tool, and working inside your organisation's AI policy.

  5. 05
    The Tool Atlas: choosing the right tool

    The 32 tools that matter, from ChatGPT to n8n: what each is good at, what to watch out for, and how to judge any new one in five questions.

  6. 06
    How large language models work

    Tokens, embeddings, attention, context windows, temperature and training: what is actually happening when a model answers you.

Find your starting point

Five minutes, no card. You’ll get your level in five skill areas and a path built around being a working professional.

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AI Training for Working Professionals · Teach me AI