Prompt Engineering from Zero to Hero
Master the art of AI interaction. This guide builds the intuition to get exactly what you need from AI models, not just the techniques, but the mental models for why they work, with runnable code and hands-on exercises in every chapter.
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Stop fighting the model with trial and error.
Most people poke at prompts until something works, then can't repeat it. This book builds the opposite: a gut feel for how AI models read and respond, so you can structure a prompt for any situation on purpose. Every concept is paired with an analogy that makes it click, then a runnable example that proves it.
22 chapters, zero to hero
A structured journey from your first prompt to advanced techniques, security, and evaluation, each with code you can run today.
Foundations
- Introduction to prompt engineering
- Templates and variables
- Technical setup and environment
Core techniques
- Zero-shot prompting
- Few-shot and in-context learning
- Chain of thought
- Self-consistency
Control and structure
- Constrained and guided generation
- Role prompting
- Instruction engineering
- Formatting and structure
- Negative prompting and output control
Composition
- Task decomposition
- Prompt chaining and sequencing
- Single-turn vs multi-turn prompts
Optimization and robustness
- Prompt optimization techniques
- Handling ambiguity and clarity
- Managing length and complexity
- Task-specific prompting
Advanced and responsible
- Multilingual and cross-lingual prompting
- Ethical considerations
- Prompt security and safety
- Evaluating prompt effectiveness
Built for people who ship with AI
Developers
Integrating AI into real applications and need prompts that behave predictably in production.
Data scientists
Optimizing model outputs and squeezing reliable, structured results out of LLMs.
AI practitioners
Technical professionals who need precise AI responses and a real feel for why a prompt works.
Why this book vs. everything else
| This Book | Blog Posts | Courses | Docs | |
|---|---|---|---|---|
| Intuition-first (why it works) | — | partial | — | |
| Runnable code examples (LangChain) | partial | partial | ||
| 22 chapters, structured journey | — | partial | — | |
| Hands-on exercises every chapter | — | partial | — | |
| Zero to advanced in one place | — | partial | — |
What you get
- 170+ page guide, PDF and EPUB included
- Runnable LangChain code examples
- Hands-on exercises in every chapter
- Access to the complete GitHub repository
- Instant download after checkout
Written by the creator of the Prompt Engineering repo
Nir Diamant is an AI researcher and open-source educator. His GitHub repositories have earned over 75,000 stars and are used by more than 500,000 developers every month. This book is the significantly expanded, intuition-focused companion to his popular Prompt Engineering repository. His DiamantAI Newsletter reaches 35,000+ subscribers and ranks in the top 0.1% on Substack.
Develop your prompting intuition.
Stop guessing. Build the sixth sense for talking to AI that makes every prompt land, in any language, for any task.