skill~180 mindifficulty

Prompt Engineering

The quality of an LLM app is often decided by prompt design more than by model choice.

1

Learn it

Work through DeepLearning.AI's short course, which teaches the two guiding principles (write clear, specific instructions; give the model time to reason) with runnable notebooks. Cross-reference Anthropic's prompt engineering overview for a structured checklist, and try the interactive tutorial hands-on.

By the end you’ll be able to

  • Apply clear instructions, few-shot examples, and structured output
  • Use chain-of-thought and role/system prompts to improve reliability

Free resources

2

Practice

Take one weak prompt and iterate through five versions, adding clarity, examples, and a required JSON output format; log what changed each time.

3

Build it — your output

A before/after prompt casebook showing measurable improvement on a real task.

4

Prove it — check yourself

You’re ready to move on when you can honestly say yes to each:

  • Can you turn a vague request into a specific, structured prompt?
  • Can you get reliable JSON output from a model?
  • Can you explain when few-shot examples help versus hurt?

Do it with AI

Use a free AI tool as your tutor and pair-programmer. Copy a prompt below into Claude, ChatGPT, or Gemini (for building, try Cursor or Copilot).

The habit: Try it yourself first — a little struggle is where the learning actually happens. Then ask for a hint before the answer — never copy blindly.

  • Understand itClaude / ChatGPT / Gemini

    I'm a beginner learning "Prompt Engineering". Explain it in simple terms with a real-world analogy, then ask me ONE question to check my understanding — don't reveal the answer.

  • PracticeClaude / ChatGPT / Gemini

    Give me 3 short practice problems on "Prompt Engineering" (my goal: apply clear instructions, few-shot examples, and structured output), from easy to hard. Don't include the solutions yet — I'll try them first, then ask you to check.

  • Get unstuckClaude / ChatGPT / Gemini

    I'm stuck on this exercise about "Prompt Engineering": [paste your attempt here]. Give me ONE small hint to move forward — do NOT give me the full solution.

  • Build & reviewCursor / Copilot

    Here is my work for a "Prompt Engineering" task: [paste your code or answer]. Review it: point out what's wrong and WHY, and suggest improvements — but let me make the fixes myself.

  • Prove itClaude / ChatGPT / Gemini

    Quiz me on "Prompt Engineering". Ask me 5 questions one at a time, wait for my answer each time, then tell me if I'm right and briefly why.

My notes