Google's 9 Hour AI Prompt Engineering Course In 20 Minutes
Tina Huang. Tina condenses Google's official Prompting Essentials course into the five-part TCREI structure (Task, Context, References, Evaluate, Iterate) with worked examples on each. After the article shows you five rewrites, this hands you the recipe Google itself teaches employees, so you can do the rewrite on your own prompts without copying ours.
What you should get from this
Tina condenses Google's official Prompting Essentials course into the five-part TCREI structure (Task, Context, References, Evaluate, Iterate) with worked examples on each.
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Take it further
Hand-picked external courses that go deeper on this topic.
DeepLearning.AIChatGPT Prompt Engineering for Developers
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 UniversityPrompt Engineering for ChatGPT
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.