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Learn Prompt Engineering

A free, interactive online prompt engineering course. You write AI prompts on every lesson — clear instructions, examples, structure, role prompting, chain-of-thought — against real LLM outputs, with a free certificate when you finish.

5,174+ codders enrolled

  • Beginner friendly
  • sparkles iconAI-assisted coding help
  • hint iconHands-on interactive lessons
  • volume On iconAudio narration on every lesson
  • quiz iconQuizzes to test your knowledge
  • certificate iconFree certificate of completion

Syllabus

1 sections23 lessons14 challenges175 quiz questions
  1. Start sectionStartExpandCollapseThe basics of prompts engineering.

    Welcome to the AI Era

    6 lessons537

    How AI Reads You — Tokens

    6 lessons247

    Writing Your First Prompts

    4 lessons333

    The System Prompt

    7 lessons458

Why learn prompt engineering with Coddy

  • Practice real AI prompts in your browser and see live LLM responses. No API keys to manage, no setup. Every prompt-engineering exercise runs against a real model so you learn what actually changes the output.
  • Prompt engineering as it's actually used: clear instructions, few-shot examples, role and persona prompts, structured output, chain-of-thought reasoning, prompt-injection awareness. The techniques every AI prompt engineer needs.
  • AI hints walk you through why a prompt failed and what to change, so you build a real intuition for ChatGPT, Claude, and other LLMs instead of just copying templates.
  • Free prompt engineering certificate when you finish the course. A credible signal for AI, content, support, and product roles where prompt-engineering skills are increasingly expected.

Frequently asked questions about learning prompt engineering

What is prompt engineering?

Prompt engineering is the practice of writing inputs to large language models — like ChatGPT, Claude, or Gemini — in a way that reliably produces the output you want. It covers structure, examples, role and persona setup, output formatting, chain-of-thought reasoning, and avoiding prompt-injection issues. A practical, hands-on skill rather than a theoretical one.

Do I need coding experience to learn prompt engineering?

No. Prompt engineering is mostly about communication, structure, and testing, not about writing code. You'll get more out of it if you eventually want to call LLMs from your own programs (Python and JavaScript are popular choices), but the core skill is language-agnostic and the course doesn't assume any coding background.

How long does it take to learn prompt engineering?

You can learn the core techniques — clear instructions, few-shot examples, structured output, role prompting — in one to two weeks of daily practice. Becoming reliably good at prompt engineering across different tasks (analysis, writing, code, reasoning) usually takes one to three months of working with real LLMs on real problems.

What's the difference between a prompt and prompt engineering?

A prompt is what you type into an AI. Prompt engineering is the discipline of designing those prompts intentionally — picking the right instructions, examples, format, and constraints so the output is consistent, accurate, and useful. The same model can produce a wildly different answer depending on how the prompt is engineered.

Is prompt engineering still a useful skill?

Yes. Even as models get smarter, the gap between a casual prompt and a well-engineered one stays large. Most production AI features (chatbots, agents, summarizers, content tools) live or die on prompt design, and most teams shipping AI products treat prompt engineering as a core skill rather than a one-off.

Do I get a certificate after the prompt engineering course?

Yes. Finishing the prompt engineering course gives you a free certificate of completion you can add to your resume or share on LinkedIn. A verifiable signal that you've worked through a structured, hands-on AI prompts course, not just watched videos.
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Learn AI Prompts with Coddy

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