- Home
- Computers
- Programming Languages
- The Developer's Guide to AI (A Field Guide for the Working Developer)
The Developer's Guide to AI (A Field Guide for the Working Developer)
List Price:
$59.99
| Expected release date is Jun 9th 2026 |
- Availability: Confirm prior to ordering
- Branding: minimum 50 pieces (add’l costs below)
- Check Freight Rates (branded products only)
Branding Options (v), Availability & Lead Times
- 1-Color Imprint: $2.00 ea.
- Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
- Belly-Band Wrap: $2.50 ea. (full-color printed)
- Set-Up Charge: $45 per decoration
- Availability: Product availability changes daily, so please confirm your quantity is available prior to placing an order.
- Branded Products: allow 10 business days from proof approval for production. Branding options may be limited or unavailable based on product design or cover artwork.
- Unbranded Products: allow 3-5 business days for shipping. All Unbranded items receive FREE ground shipping in the US. Inquire for international shipping.
- RETURNS/CANCELLATIONS: All orders, branded or unbranded, are NON-CANCELLABLE and NON-RETURNABLE once a purchase order has been received.
Product Details
Author:
Jacob Orshalick, Jerry M. Reghunadh, Danny Thompson
Format:
Paperback
Pages:
320
Publisher:
No Starch Press (June 9, 2026)
Imprint:
No Starch Press
Release Date:
June 9, 2026
Language:
English
Audience:
General/trade
ISBN-13:
9781718504769
ISBN-10:
1718504764
Weight:
13oz
Dimensions:
7" x 9.25"
File:
RandomHouse-PRH_Book_Company_PRH_PRT_Onix_full_active_D20260405T171653_155746873-20260405.xml
Folder:
RandomHouse
List Price:
$59.99
Country of Origin:
United States
Pub Discount:
65
Case Pack:
24
As low as:
$46.19
Publisher Identifier:
P-RH
Discount Code:
A
QuickShip:
Yes
Overview
Build intelligent applications—no data science degree required.
Your boss is pitching new AI features. Your team is buzzing about MCP servers. Job postings are asking for AI experience with RAG, vector databases, fine-tuning, and agents. You can feel the excitement. You see the potential. You may be wondering how to get started in AI without a data science degree. You’re in the right place.
The Developer’s Guide to AI gives working developers a practical path through the terminology, tools, and implementation patterns that matter. It shows you how to build with AI using the tools you already know: JavaScript, Python, APIs, SDKs, and databases.
By the end of this book, you’ll know how to:
LLMs, RAG, LoRA, MCP, embeddings, and agents are not just intimidating buzzwords. They are the building blocks for the next generation of software.
Grab your code editor, bring your engineering instincts, and let’s build what’s next!
Your boss is pitching new AI features. Your team is buzzing about MCP servers. Job postings are asking for AI experience with RAG, vector databases, fine-tuning, and agents. You can feel the excitement. You see the potential. You may be wondering how to get started in AI without a data science degree. You’re in the right place.
The Developer’s Guide to AI gives working developers a practical path through the terminology, tools, and implementation patterns that matter. It shows you how to build with AI using the tools you already know: JavaScript, Python, APIs, SDKs, and databases.
By the end of this book, you’ll know how to:
- Call LLM APIs and stream intelligent responses directly to your UI.
- Engineer prompts that produce reliable, production-ready results.
- Build RAG pipelines using vector databases to give AI access to your private data.
- Fine-tune models with LoRA for specialized tasks like classification.
- Deploy AI agents using tool-calling and the Model Context Protocol (MCP) to reason and act inside real workflows.
LLMs, RAG, LoRA, MCP, embeddings, and agents are not just intimidating buzzwords. They are the building blocks for the next generation of software.
Grab your code editor, bring your engineering instincts, and let’s build what’s next!
