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LLMs, Prompt Engineering & Context Engineering

Prompt Engineering Fundamentals

Clear instructions, examples, step-by-step reasoning and structured output — proven techniques, no incantations.

Level
Beginner
Lessons
4
Total time
58 min
Simulations
1
Included in LLMs, Prompt Engineering & Context Engineering · $9
Tools you'll use
  • Python
  • Claude
  • OpenAI
  • Gemini
Skills
  • System prompts
  • Few-shot prompting
  • JSON output

What you will be able to do

  • Write prompts that are repeatable and testable
  • Get structured output you can parse

Before you start

A suggestion, never a lock — you can start here.

  • how-llms-work
Modules that help first

Syllabus

4 lessons · 58 min

Every lesson's title and summary is public. The lessons themselves open once you own the track.

Every lesson in LLMs, Prompt Engineering & Context Engineering

  1. Clear Instructions and Roles

    14 min

    Writing a prompt like a brief for a brilliant new colleague with no context.

    Included with the track

  2. Few-Shot Examples

    14 min

    Choosing examples that teach the pattern rather than get copied verbatim.

    Included with the track Simulation

  3. Reasoning and Chain-of-Thought

    14 min

    When asking the model to think step by step helps, and when it only adds tokens.

    Included with the track

  4. Structured Output

    16 min

    JSON, schemas and validation so model output can be consumed by code.

    Included with the track
Lifetime access
$9
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