Lesson 1 of 4
Prompt Engineering Course Free
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4 lessons · Novice
About this study
“Prompt Engineering Course Free” is a free, 4-lesson study at novice, created with soclever, a personal AI teacher. Each lesson takes a few minutes and ends with a check-in question; finish the curriculum and you can take a certificate test to earn a diploma. Starting is free once you sign in — or generate your own study on any topic.
What you'll learn
- Anatomy of a Working Prompt. Most people's first prompt is 87% failure waiting to happen. They ask an AI to "summarize this article" and get back garbage—too long, wrong tone, missing details they needed. The…
- Summarize: From Rambling to Refined. A weak summarization prompt wastes tokens and returns mush. You ask the AI to "summarize this," it gives you everything and nothing. A strong one extracts signal. Here's what…
- Verify, Critique, Iterate. ChatGPT's release in late 2022 exposed a hard truth: the model was fluent and confident on topics it only half-understood. Users got plausible-sounding answers that crumbled under…
- Build Your First Real Workflow. Most people think prompt engineering is about finding the perfect magic words to say to an AI once. That's wrong. Real prompt engineering is designing a sequence of prompts where…
Questions this study answers
- If you removed the constraint from a working prompt, what type of error would most likely appear in the AI's response?
- What are the three parts of the anatomy framework that make a summarization prompt work, and why does each one matter?
- If an AI response sounds correct but you're unsure, what's the second step you'd take before rewriting your prompt?
- Why is chaining two prompts together (summarize then critique) more powerful than just asking one good question?
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