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Prompt Engineer

Make LLMs reliable enough to ship.

You design, evaluate, and harden the prompts and prompt systems behind real product features. You live at the intersection of product, design, and ML — and you ship.

Start the recommended pathCompare other roles

Skills profile

What hiring managers actually weigh.

Recommended paths

Take them in order. Each builds on the previous.

1

Prompt Engineering

Make any LLM do what you actually want.

2

RAG & Vector Databases

Make models answer from your data, not their guesses.

3

LLMs & Transformers

See inside the model — without the math wall.

90-day roadmap

An honest, week-by-week plan. Adjust to your weekly time budget.

  1. 1

    Foundation

    ~3 weeks
    • Master prompt structure & constraints
    • Build a small evaluation harness
    • Ship 3 working prompt demos
  2. 2

    Production patterns

    ~4 weeks
    • Add RAG over a real corpus
    • Implement fallbacks & retries
    • Cost & latency tracking
  3. 3

    Certify & port

    ~2 weeks
    • Pass Prompt Engineering Fundamentals on CertQuests
    • Publish a portfolio project
    • Tailor your CV around shipped artifacts

Certifications worth taking

Practice & certify on CertQuests after completing the course.

Career outcomes

Realistic next steps after completing the roadmap.

  • Junior → mid PE roles at AI-first startups
  • Internal mobility from Product / Design / SE
  • Foundation for ML Engineer or Applied GenAI