Prompt Engineering Course Free
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Covers Anatomy of a Working Prompt, Summarize: From Rambling to Refined, Verify, Critique, Iterate and more.
“Prompt Engineering Course Free” is a 4-lesson course at Teen level, 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. Try the first lesson without an account — or make your own course 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.
- 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.
- 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.
- 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.
Lesson 1: 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 difference between that and a prompt that works isn't luck. It's five parts you need to stack in the right order.
Take a real example: you want to summarize a technical blog post for your manager. A vague request dies on arrival. A working prompt chains five elements. First, role—who is the AI playing? "You are a technical writer" narrows the voice. Second, context—what background matters? "This is for a non-technical executive who needs to decide if we adopt this tool." Third, task—what exactly do you want done? "Extract the three main benefits and two biggest drawbacks." Fourth, format—how should it look? "Bullet points, max 150 words." Fifth, constraint—what's off-limits? "Avoid jargon; if you must use a technical term, explain it in one sentence."
Those five parts aren't optional flavor. Each one eliminates a class of wrong answers. Context tells the AI why precision matters here. Format stops it from rambling. Constraints kill the stuff you don't want.
Stack them in order—role, context, task, format, constraint—and you move from hoping to knowing what you'll get back.
Questions this course answers
What are the five parts of a working prompt?
Role, context, task, format, and constraint are the five parts that make a working prompt.
What are the three load-bearing parts of a working summarization prompt?
Scope, format, and a quality gate are the three load-bearing parts of a working summarization prompt.
What three-step cycle do prompt engineers use to catch and fix plausible-sounding answers?
Verify, critique, and iterate are the three steps used to catch and fix answers that only sound right.
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