Best OpenAI API Books

BeginnerPaid★ Top Pick

Developing Apps with GPT-4 and ChatGPT

Olivier Caelen, Marie-Alice Blete · O'Reilly0

The most practical OpenAI API book — covers the chat completions API, embeddings, fine-tuning, and building Python and web applications. Fast-paced and code-heavy, ideal for developers who want to ship quickly.

BeginnerPaid★ Top Pick

Developing Apps with GPT-4 and ChatGPT

Olivier Caelen, Marie-Alice Blete · O'Reilly0

The most practical OpenAI API book — covers the chat completions API, embeddings, fine-tuning, and building Python and web applications. Fast-paced and code-heavy, ideal for developers who want to ship quickly.

BeginnerPaid

Building AI Applications with ChatGPT APIs

Martin Yanev · Packt · 252 pages · ~6 hrs to read

Ten projects built with ChatGPT, Whisper and DALL-E. A project-based route for engineers who learn best by completing end-to-end projects.

IntermediatePaid

Quick Start Guide to Large Language Models

Sinan Ozdemir · Addison-Wesley · 427 pages · ~11 hrs to read

Covers prompt engineering, semantic search with embeddings, fine-tuning, and building production applications — with both OpenAI and open-source model implementations. Broader context than API-only books.

IntermediatePaid

Prompt Engineering for Generative AI

James Phoenix & Mike Taylor · O'Reilly · 430 pages · ~11 hrs to read

The clearest treatment of prompting mechanics that applies directly to GPT-4o and the o-series models — output parsing, few-shot structuring, and evaluating prompt reliability. A better prompting reference than anything in the OpenAI Cookbook because it explains the underlying reasoning, not just recipes.

IntermediatePaid

AI Engineering

Chip Huyen · O'Reilly · 535 pages · ~13 hrs to read

Covers the full lifecycle of building products on top of APIs like OpenAI's — model selection economics, evaluation, RAG, and guardrails — from someone who has shipped these systems rather than just called the endpoints. The best available context for engineers whose OpenAI API usage needs to scale into an actual product.