Isbn: 9781718504769 - the developer's guide to ai: a field guide for the working developer (33 Ergebnisse)

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Paperback. Zustand: 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.

Paperback. Zustand: 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.…

Paperback or Softback. Zustand: New. The Developer's Guide to AI: A Field Guide for the Working Developer. Book.

Paperback. Zustand: 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. …

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Paperback. Zustand: Brand New. 336 pages. 9.25x7.00x9.19 inches. In Stock.

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paperback. Zustand: New. Special order direct from the distributor.

Paperback. Zustand: Brand New. 336 pages. 9.25x7.00x9.19 inches. In Stock.

Taschenbuch. Zustand: Neu. Neuware -Build intelligent applicationsno 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! 320 pp. Englisch. …

Taschenbuch. Zustand: Neu. Neuware -Build intelligent applicationsno 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! 320 pp. Englisch. …

Taschenbuch. Zustand: Neu. Neuware -Build intelligent applicationsno 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. …

Paperback. Zustand: 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. …

Paperback. Zustand: 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Zustand: NEW.

Zustand: New. 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 direct.

Zustand: New. 2026. paperback. . . . . . Books ship from the US and Ireland.

Paperback. Zustand: 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

paperback. Zustand: New.

Taschenbuch. Zustand: Neu. The Developer's Guide to AI | A Field Guide for the Working Developer | Jacob Orshalick (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2026 | Random House LLC US | EAN 9781718504769 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.…

Zustand: New. 2026. paperback. . . . . .

Taschenbuch. Zustand: Neu. Neuware -Build intelligent applicationsno 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!eucomply OÜ, Pärnu mnt 139b-14, 11317 Tallinn 320 pp. Englisch. …