What you'll be able to do
- Structure any prompt with role, context, task, format and constraints
- Use examples (few-shot) to lock in tone and format
- Break big jobs into prompt chains that don't drift
- Spot and fix hallucinations before they reach your work
- Build a reusable personal prompt library
The curriculum
5 modules · 15 lessons · 174 minutes
Module 1How language models actually read your prompt3 lessons
- Tokens, context and why wording mattersFree preview9 min
- The five-part prompt frameworkFree preview12 min
- Clarity beats cleverness8 min
Module 2Giving the model what it needs3 lessons
- Context dumps that help, not hurt11 min
- Few-shot examples14 min
- Asking for structured output (tables, JSON, checklists)10 min
Module 3Reasoning and accuracy3 lessons
- Letting the model think before it answers9 min
- Grounding answers in your own sources12 min
- Catching made-up facts10 min
Module 4Prompt chains and workflows3 lessons
- Splitting work into steps13 min
- Critique-and-revise loops11 min
- Project: a research-to-report chain22 min
Module 5Your prompt library3 lessons
- Templates with variables8 min
- Custom instructions and projects10 min
- Final project and checklist15 min
Who it's for
Anyone who uses AI chat tools every week and wants consistently better answers.
Requirements
- •A free account on any AI chat tool
- •No technical background needed
Start now with free tutorials
Free guides on the same topic, available to read today.
Prompt Engineering.
The 5-part prompt framework that fixes 90% of bad answers
Role, context, task, format, constraints. A simple structure that turns vague AI replies into usable work.
Prompt Engineering.
How to fact-check AI answers in two minutes
A quick routine to catch hallucinated facts, fake citations and outdated information before they embarrass you.
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