Generative AI Developer Handbook
A Hands-On Guide to Building and Scaling Generative AI AppsBy Miles Draper
Length3h 52m
About this audiobook
You have a generative AI feature to ship, and the tutorials you've found stop at hello world. Miles Draper's Generative AI Developer Handbook picks up where they quit. Written for working developers, it walks you through building a real application end to end: making your first reliable LLM call, grounding answers in your own data with retrieval-augmented generation, giving models tools and memory through function calling and agents, and knowing when fine-tuning actually beats prompting. You'll also learn the parts most guides skip, like evaluating outputs, controlling latency and cost in production, and monitoring live systems once real users arrive. Every chapter is example-driven and aimed at shipping, not theorizing. By the last page, you'll have designed, built, evaluated, and deployed a production-grade generative AI application, with checklists and templates to reuse on the next one. When you're ready to move past prototypes, this is the book to keep within reach.
Audiobook details
GenreTechnology
Length3 hrs 52 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
Publish dateOct 11, 2026
LanguageEnglish
Table of contents
1Introduction
2The Generative AI Developer Stack: What You Actually Need to Know
3Your First Working LLM Call: From Zero to Output in 15 Minutes
4Prompt Engineering That Ships: Patterns for Reliable Outputs
5Embeddings and Vector Search: Giving Your App a Memory
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6Retrieval-Augmented Generation: Building a Q&A Bot Over Your Own Data
7Function Calling and Tools: Making LLMs Take Action
8Building Your First AI Agent: Planning, Memory, and Loops
9Fine-Tuning vs. Prompting: When and How to Customize a Model
10Evaluating Generative AI: Metrics, Tests, and Guardrails
11Deploying to Production: Latency, Cost, and Scaling
12Monitoring, Logging, and Debugging Live AI Systems
13Security, Privacy, and Responsible AI for Developers
14Scaling Your AI Application: Multi-Agent Systems and Advanced Patterns
15The Generative AI Developer Playbook: Checklists, Templates, and Reference
16About the Author
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