§ 01 the book
You build software and want to learn how to build with AI.
The developer's map of AI engineering
LLMs, prompts, RAG, evals, agents and system design, with the interview questions
You can ship software. What you haven't done yet is build a product on a language model, or sit the interview for a job that does. This is the map for both.
§ 02 inside
What is inside.
- The job and the map
- What a language model is, for an engineer
- Choosing a model: capability, cost and latency
- Prompting as engineering
- Structured output
- Embeddings and vector search
- Retrieval-augmented generation
- Evaluation
- Tools and the Model Context Protocol
- Agents
- Fine-tuning, and when not to
- Production: latency, cost and reliability
- Observability and learning from production
- Security and guardrails
- LLM system design
- The interview
§ 03 buy
Choose a format.
- Ebook $9.99
- Paperback $14.99
- Hardcover $24.99
§ 04 sample
Read the opening first.
Amazon shows the opening of the book for free. Read it in the browser, or have the sample sent straight to your Kindle.