Prompt Engineer
From decent prompts to production-grade prompting
You'll write prompts that are reliable, structured, and interview-ready, and you'll know when to reach for RAG or fine-tuning instead.
You use AI daily and want to master the craft — for work, side projects, or interviews.
- You've used ChatGPT/Claude for real tasks.
- Comfort reading small code snippets helps but isn't required.
Publish a small 'prompt cookbook' — 10 tested prompts for real tasks, each with format, structure, and a note on when they fail.
- 1
Stage 1: The anatomy of a great prompt
Every advanced technique layers on top of the fundamentals. Get these solid.
- Tutorial: Write your first effective prompt
- Course: Prompt Engineering Mastery — Foundations
- Blog: Prompt engineering still matters
Deliverable · Rewrite 3 of your worst-performing prompts using role / task / context / format. - 2
Stage 2: Show, don't tell
Few-shot examples steer models more reliably than a paragraph of instructions.
Deliverable · Pick one task you do repeatedly. Build a 3-example few-shot template for it. - 3
Stage 3: Reasoning + structured output
For anything a program (or another human) reads, you need chain-of-thought and reliable JSON.
- Tutorial: Chain-of-thought + structured output
- Tutorial: Get reliable JSON output from an LLM
- Interview: Reduce hallucinations (Mid)
Deliverable · Write a prompt that returns valid JSON for a real task, and validate it with a schema. - 4
Stage 4: Under the hood
Understanding tokens, context, and how the model actually reads your prompt makes debugging obvious.
- Tutorial: Tokenization explained
- Blog: Context windows explained
- Interview: How LLMs generate text (Junior)
Deliverable · Estimate the token count of a prompt you use often. Trim 30% without losing quality. - 5
Stage 5: Iterate, evaluate, ship
Great prompt engineers treat prompts like code: versioned, tested, and measured.
Deliverable · Build a 10-example eval set for one prompt. Score two versions. Pick the winner with data. - 6
Stage 6: Know when NOT to prompt
Some problems need RAG (facts) or fine-tuning (behavior). Knowing this saves months.
Deliverable · Publish your prompt cookbook (v1): 10 real prompts, each with format, examples, and known limits.