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Prompting 101 | Code w/ Claude
Anthropic. Two members of Anthropic's Applied AI team build up a single prompt for a real customer use case (analyzing Swedish car accident reports), starting from a one-liner that fails and adding role, task context, dynamic content, examples, and final emphasis one layer at a time. It is the cleanest demonstration on YouTube of the exact "role + context + task + constraints + format" stack the article describes, with the failure modes shown along the way.
AI Expert note
The demo uses Claude, but the layer-by-layer build maps one-to-one onto the article's role-context-task-constraints-format stack, whatever model you use.
What you should get from this
Build stronger prompts by adding role, task context, examples, constraints and output format one layer at a time.
Watch or know first
Comfortable writing basic prompts; the article's five-part breakdown is the ideal warm-up.
Last reviewed: May 18, 2026
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Take it further
Hand-picked external courses that go deeper on this topic.
DeepLearning.AIChatGPT Prompt Engineering for Developers
Isa 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."
Intermediate~1.5 hours
Coursera · Vanderbilt UniversityPrompt Engineering for ChatGPT
Dr. 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.
Beginner~18 hours
Microsoft LearnWork Smarter with AI: Craft Effective Prompts for Microsoft Copilot
Microsoft 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.
Intermediate~1h 5m · self-paced