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Mastering Prompt Engineering
AI Concepts Beginner to Intermediate 2 weeks

Mastering Prompt Engineering

Write prompts that get LLMs to do exactly what you want.

Prompt engineering is the foundational skill for getting value from AI. This path takes you from basic question-asking to advanced techniques that produce reliable, high-quality outputs.

5 Stages

1 Stage 1
2 Stage 2
3 Stage 3
4 Stage 4
5 Stage 5
01

Stage 1: The Fundamentals

⏱ 1 day

Objective

Understand how LLMs process prompts

Key Concepts

  • Tokenization
  • Context window
  • Temperature
  • How LLMs 'think' (next-token prediction)

Tools You'll Use

ChatGPT PlusClaude.ai

Tasks

  1. Read the OpenAI prompt engineering guide
  2. Experiment with temperature 0 vs 1 on the same prompt
  3. Test the context window: how much text can you fit in?
  4. Try asking the same question 3 times — does the answer change?

Milestone

You can explain why 'temperature' matters in plain language

02

Stage 2: Core Prompt Patterns

⏱ 3 days

Objective

Master the 5 most useful prompt patterns

Key Concepts

  • Role prompting
  • Few-shot examples
  • Chain-of-thought
  • Structured output
  • Step-by-step tasks

Tools You'll Use

Any LLM

Tasks

  1. Write prompts using each of the 5 patterns
  2. For each pattern, test: does it improve results vs a basic prompt?
  3. Create a personal prompt library file with 10+ templates
  4. Share your library with a friend and get feedback

Milestone

Your 20 standard prompts consistently produce output you're happy with

03

Stage 3: Advanced Techniques

⏱ 3 days

Objective

Use advanced techniques for complex, multi-step tasks

Key Concepts

  • Self-critique
  • Prompt chaining
  • ReAct (reason + act)
  • LLM as judge
  • Meta-prompts

Tools You'll Use

Claude 3.5 SonnetGPT-4o

Tasks

  1. Build a prompt that writes code, tests it, and fixes errors — automatically
  2. Create a self-critique loop for writing: draft → critique → revise → final
  3. Use LLM-as-judge to compare 3 versions of output quality
  4. Design a meta-prompt that generates other prompts

Milestone

You can build a multi-step prompt workflow that handles a complete task from start to finish

04

Stage 4: Specialized Applications

⏱ 4 days

Objective

Apply prompt engineering to your specific domain

Key Concepts

  • Code generation prompts
  • Content creation prompts
  • Data analysis prompts
  • Research prompts
  • Customer service prompts

Tools You'll Use

Your LLM of choiceYour domain-specific knowledge

Tasks

  1. Pick 3 real tasks you do every week
  2. Design optimized prompt templates for each
  3. Test them for 1 week — measure time saved vs quality
  4. Refine based on real usage
  5. Document your workflow so someone else could follow it

Milestone

You use AI prompts daily for at least 3 recurring tasks and they save you measurable time

05

Stage 5: Build a Prompt-Based Tool

⏱ 3-4 days

Objective

Create a simple tool that automates prompts for others

Key Concepts

  • Prompt templates as product
  • No-code AI tools
  • Sharing prompts publicly

Tools You'll Use

Typeform with AI featuresGoogle Sheets + AIPromptLayer (optional)

Tasks

  1. Identify a prompt workflow others would find useful
  2. Build it as a simple form or template
  3. Share it on social media or in a community
  4. Get feedback and iterate v2
  5. Document the results

Milestone

Your tool/template helps at least 10 people accomplish something faster

Ready to begin?

Bookmark this page and work through the stages at your pace. Track your progress as you go.