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Career · Everyday work with AI

Clear Asks: learn prompt engineering: better prompts for everyday work

Six lessons on writing prompts that get usable work from ChatGPT, Claude, Gemini, Copilot and similar tools: brief it like a colleague, show an example, set limits and fallbacks, iterate and check, and keep personal and confidential information out.

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About this course

learn prompt engineering: better prompts for everyday work.

Starter · About 1 hour of learning · 6 lessons · 16 quick checks · 1 download

  • Who it's for

    Anyone who uses AI chat tools at work, in any role or industry, in Australia, the UK, the US and elsewhere.

  • How it works

    6 guided lessons in your browser, with worked examples, exercises and a quick check after each lesson. Progress is saved in this browser only, and you can restart at any time. You start with just your first name and email, and you can take one whole course that way. After that, a free account lets you continue past lesson 1.

  • Sources we rely on

    10 published sources, mostly regulators and official bodies, listed below so you can check the original guidance yourself.

By the end you can

  • Explain what a prompt is and why wording changes the response
  • Write four-part prompts with a clear goal, context, source and expectations
  • Use examples, separators, limits and fallbacks to get the format you need and reduce invented details
  • Improve a prompt over several rounds and check the output before using it
  • Decide what information is safe to put into a prompt under your workplace rules

Downloads

Rules by country

Australia
DTA staff guidance on public generative AI: no security-classified or personal information in public tools; assume inputs could be made public; check outputs for fairness, accuracy and bias.
United Kingdom
AI Playbook for the UK Government: ten principles, including secure use and meaningful human control. AI Insights on prompt engineering: constrain prompts and give a fallback to reduce hallucination.
United States
NIST AI 600-1 Generative AI Profile (voluntary): names confabulation and data privacy among generative AI risks. Sector rules and your employer’s policy decide what you can enter.

Learning time

About 1 hour of learning. May count towards your CPD or professional development; check your professional body's rules. Estimated from reading time, exercises, quick checks and downloads.

Sources

Check the originals.

How these courses are made. Spotted an error or out-of-date rule? Send a correction.

General information and training only. Courses may count towards your CPD or professional development; check your professional body's rules.

Publisher

Who publishes this course.

Published by trainyourself.org, a trading name of Combine TRS Pty Ltd (ABN 42 112 983 678), Brisbane, Australia.

How it's made: researched from published official, regulator, professional-body and vendor guidance, then run through automated quality checks against our course depth standard and automated source checks that match each rule to its official source, listed above. Read how these courses are made.

Last updated:

General information, not careers, legal, employment or professional advice. Spotted an error or an out-of-date rule? Send us a correction.

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