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:
"synopsis" may belong to another edition of this title.
Jacob Orshalick has over 20 years in software development as an independent consultant for startups and Fortune 500 companies, leading high-impact projects and speaking regularly at conferences.
Jerry Mannel Reghunadh is a senior director with over 20 years in tech, spanning QA, product innovation, and solution architecture. He is known for mastering complex concepts and making them accessible.
Danny Thompson is a director of technology who works with Fortune 500 companies, teaches software developers worldwide, and hosts The Programming Podcast.
"About this title" may belong to another edition of this title.
Seller: Magus Books Seattle, Seattle, WA, U.S.A.
Trade Paperback. Condition: VG. used trade paperback edition. lightly shelfworn, corners perhaps slightly bumped. pages and binding are clean, straight and tight. there are no marks to the text or other serious flaws. Seller Inventory # 1554161
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Paperback. Condition: new. Paperback. Working developers everywhere now use AI tools, but most still struggle to turn prompts and prototypes into reliable software features. The Developer's Guide to AI teaches engineers how to build real, maintainable AI capabilities using the tools they already know-JavaScript, Python, APIs, vector search, and simple agent workflows without advanced math or machine learning. Readers learn where AI belongs in an application, how to design around real-world constraints like latency and cost, and how to avoid the brittle prototypes that fail under changing requirements. With clear examples and production-focused patterns, this book helps developers ship AI features that last. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781718504769
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Paperback or Softback. Condition: New. The Developer's Guide to AI: A Field Guide for the Working Developer. Book. Seller Inventory # BBS-9781718504769
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Paperback. Condition: New. Working developers everywhere now use AI tools, but most still struggle to turn prompts and prototypes into reliable software features. The Developer's Guide to AI teaches engineers how to build real, maintainable AI capabilities using the tools they already know-JavaScript, Python, APIs, vector search, and simple agent workflows without advanced math or machine learning. Readers learn where AI belongs in an application, how to design around real-world constraints like latency and cost, and how to avoid the brittle prototypes that fail under changing requirements. With clear examples and production-focused patterns, this book helps developers ship AI features that last. Seller Inventory # LU-9781718504769
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