{"product_id":"9781718504769","title":"The Developer's Guide to AI: A Field Guide for the Working Developer","description":"\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eAuthor\/Contributor(s):\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003eOrshalick, Jacob; Reghunadh, Jerry M.; Thompson, Danny\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003ePublisher:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNo Starch Press\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eDate:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e6\/9\/2026\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eBinding:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003ePaperback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003eNEW\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cb\u003eBuild intelligent applications—no data science degree required.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eYour 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.\u003cbr\u003e\u003cbr\u003e\u003ci\u003eThe Developer’s Guide to AI\u003c\/i\u003e 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.\u003cbr\u003e\u003cbr\u003eBy the end of this book, you’ll know how to:\u003cbr\u003e\u003cul\u003e\n\u003cli\u003eCall LLM APIs and stream intelligent responses directly to your UI.\u003c\/li\u003e\n\u003cli\u003eEngineer prompts that produce reliable, production-ready results.\u003c\/li\u003e\n\u003cli\u003eBuild RAG pipelines using vector databases to give AI access to your private data.\u003c\/li\u003e\n\u003cli\u003eFine-tune models with LoRA for specialized tasks like classification.\u003c\/li\u003e\n\u003cli\u003eDeploy AI agents using tool-calling and the Model Context Protocol (MCP) to reason and act inside real workflows.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003eLLMs, RAG, LoRA, MCP, embeddings, and agents are not just intimidating buzzwords. They are the building blocks for the next generation of software.\u003cbr\u003e\u003cbr\u003eGrab your code editor, bring your engineering instincts, and let’s build what’s next!","brand":"No Starch Press","offers":[{"title":"Default Title","offer_id":47625235300607,"sku":"9781718504769","price":59.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0452\/0886\/2873\/files\/9781718504769_s600x595.jpg?v=1777912269","url":"https:\/\/massivebookshop.com\/de\/products\/9781718504769","provider":"MASSIVE BOOKSHOP","version":"1.0","type":"link"}