Lawton Learns. A concrete, copy-pasteable C.R.A.F.T. meta-prompt (Context, Role, Action, Format, Target audience) that the article references in spirit. Useful as the first entry in a new library — a prompt whose job is to generate well-structured prompts for everyone else.
The C.R.A.F.T. meta-prompt is the deliverable; paste it in as your library's first entry and judge the video by what it generates for your team.
Use the C.R.A.F.T. structure as a reusable meta-prompt for generating more consistent prompts across a team library.
None once you know basic prompt structure.
Last reviewed: May 18, 2026
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Hand-picked external courses that go deeper on this topic.
DeepLearning.AIIsa Fulford · Andrew Ng
Ninety minutes to a year's worth of intuition. If you've started writing code that calls an LLM — or you're about to — this is the most efficient course online for closing the gap between "playing with ChatGPT" and "shipping a feature that calls an LLM."
Coursera · Vanderbilt UniversityDr. Jules White
The academic complement to DeepLearning.AI's short course — same discipline, longer arc, written for people who don't code. Dr. White teaches prompting as a set of reusable patterns (Ask for Input, Outline Expansion, Fact Check List, Menu Actions) rather than tricks. After this you'll prompt LLMs like a designer, not a guesser.
Microsoft LearnMicrosoft Learn
Prompt engineering, but for the tool most office workers will actually touch first. Microsoft's own four-part prompting framework (goal, context, source, expectation) is a genuinely useful mental model, and unlike the generic ChatGPT prompting courses already in our catalog, this one is grounded entirely in Microsoft 365 Copilot's specific quirks and grounding behavior.
