Course

Prompt Engineering

Talking to AI taught the moves; this goes deeper. Treat a prompt like something you engineer: name its parts, climb the example ladder, make it reason, chain the steps — then test it against real cases and refine on evidence, not vibes. Eight lessons for anyone who wants prompts that work every time, not just sometimes.

8 lessonsIntermediate50 min

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Course lessons

Prompting is engineering

A prompt isn't magic words — it's a thing with parts, and each part is a lever you control.

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The example ladder

Zero, one, or a few examples — how many you show is a dial, and it controls the output.

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Give it room to reason

Four words — "think step by step" — turn confident wrong answers right on tricky questions.

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Ask it more than once

On a hard question, one answer can be a fluke — ask several times and trust the majority.

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Break the job into a chain

One giant request comes back shallow; a short chain of focused steps builds something real.

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Measure, then refine

Stop guessing whether a prompt got better — test it against real cases and let the score decide.

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When a prompt fails

Bad output isn't random — read *how* it failed, and the fix is usually one line in your prompt.

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Prompt responsibly

A prompt can carry your bias, leak private data, or cross a line — the last part of the craft is judgment.

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Follow the whole course as a guided journey — sequential lessons, progress, streaks and a personalized path, all in the app.

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