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Prompt Engineering

1 certified

A prompt is just an instruction, but most prompts fail. Why? Lack of context, vague goals, no examples, no structure. This course teaches you to write prompts that consistently work, from chain-of-thought to few-shot, across Claude, GPT, and Gemini.

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  1. 01

    Start here: what this course is about

    Welcome to Prompt Engineering

    Read first. ~3 minutes.

  2. 02

    Start here: what is prompt engineering?

    Prompt engineering overview - Claude API Docs

    Anthropic's official intro. The mental model: prompts are instructions, not magic spells.

  3. 03

    The basics: clarity, structure, examples

    OpenAI Prompt Engineering Guide

    OpenAI's official guide. How to write instructions, when to add examples, how to use system prompts.

  4. 04

    Official Anthropic teaching material. Practice each technique in an interactive playground.

  5. Same techniques work across GPT, Claude, Gemini. The differences are smaller than they look.

  6. Show the model examples of what you want. Often more effective than describing it.

  7. The original Google research paper that introduced chain-of-thought. 15 to 40 percent improvement on math and reasoning.

  8. When the model needs to use tools. The pattern that powers agentic prompts.

  9. 09

    Advanced techniques: self-consistency, tree of thoughts

    Advanced Prompt Engineering: Self-Consistency, Tree-of-Thoughts, RAG

    Beyond chain-of-thought. Self-consistency adds 17.9 percent on GSM8K. Tree-of-thoughts explores reasoning branches.

  10. 10

    Mastering prompt engineering (full guide)

    Prompt Engineering Guide 2026 - Analytics Vidhya

    Comprehensive walkthrough. Testing, iteration, evals. Treat prompts like production code.

  11. Research-backed catalog of every modern prompting technique. The 2026 toolkit, with the papers cited for each technique.

  12. 12

    Closing: what to take with you

    Closing: Prompts as a Discipline

    Wrap-up. ~3 minutes.

  13. Log in to track your progress.

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