Articoli correlati a The Developer's Guide to AI: A Field Guide for...
Sinossi
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:
- 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!
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull'autore
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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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The Developer's Guide to AI
Editore:
No Starch Press,US, 2026
ISBN 10: 1718504764
ISBN 13: 9781718504769
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Paperback. Condizione: Very Good. 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. Codice articolo 00109243392
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The Developer's Guide to AI: A Field Guide for the Working Developer
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ISBN 10: 1718504764
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The Developer's Guide to AI: A Field Guide for the Working Developer
Editore:
No Starch Press (edition ), 2026
ISBN 10: 1718504764
ISBN 13: 9781718504769
Antico o usato
Paperback
Da: BooksRun, Philadelphia, PA, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Codice articolo 1718504764-11-1
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Paperback. Condizione: new. Paperback. 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: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! Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781718504769
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Paperback. Condizione: 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. Codice articolo LU-9781718504769
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