9798245990439 - snowflake ai engineering handbook: designing production-grade llm apps, rag systems, and agentic pipelines de mercer, code (5 resultados)
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Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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Paperback. Condición: new. Paperback. AI is no longer about clever prompts.It's about engineering real systems that actually work in production.The most valuable professionals today are not casual AI users they are AI engineers who understand architecture, pipelines, evaluation, scalability, and reliability. This book was writte…n for those who want to operate at that level.Snowflake AI Engineering Handbook is a practical, architecture-focused guide to building serious AI systems: from LLM applications and retrieval pipelines to agentic workflows and production-ready deployments.Inside this book, you'll learn how to: Design scalable LLM applications beyond toy demosBuild high-accuracy Retrieval-Augmented Generation (RAG) systemsEngineer vector search pipelines that return relevant resultsArchitect agentic workflows for multi-step reasoningEvaluate AI systems using real engineering metricsAvoid common architecture mistakes that break AI productsOptimize latency, cost, and performance in production systemsThink like a professional AI engineer, not a hobbyistWhat makes this book differentMost AI books focus on tools.This book focuses on thinking, architecture, and engineering judgment.You'll gain: Mental models used by real AI engineersArchitecture patterns for modern AI systemsTradeoff frameworks for real-world decision-makingPractical system design guidanceCareer-relevant knowledge that applies across tools and platformsThese are the skills companies actually pay for.Who this book is forThis handbook is ideal for: AI EngineersData EngineersSoftware EngineersMachine Learning EngineersTechnical ArchitectsBackend Engineers building AI featuresDevelopers transitioning into AI careersSerious learners building production-grade AI systemsIf you understand basic programming and want to move beyond surface-level AI usage, this book will elevate how you design systems.Why this matters nowAI engineering is quickly becoming one of the highest-paid technical careers globally. Companies are no longer hiring prompt writers they are hiring professionals who can: Design, build, evaluate, and maintain reliable AI systems.This book equips you with the mindset and structure to operate at that level.If you're ready to move beyond prompts and start building real AI systems, this handbook is your blueprint. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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Paperback. Condición: new. Paperback. AI is no longer about clever prompts.It's about engineering real systems that actually work in production.The most valuable professionals today are not casual AI users they are AI engineers who understand architecture, pipelines, evaluation, scalability, and reliability. This book was writte…n for those who want to operate at that level.Snowflake AI Engineering Handbook is a practical, architecture-focused guide to building serious AI systems: from LLM applications and retrieval pipelines to agentic workflows and production-ready deployments.Inside this book, you'll learn how to: Design scalable LLM applications beyond toy demosBuild high-accuracy Retrieval-Augmented Generation (RAG) systemsEngineer vector search pipelines that return relevant resultsArchitect agentic workflows for multi-step reasoningEvaluate AI systems using real engineering metricsAvoid common architecture mistakes that break AI productsOptimize latency, cost, and performance in production systemsThink like a professional AI engineer, not a hobbyistWhat makes this book differentMost AI books focus on tools.This book focuses on thinking, architecture, and engineering judgment.You'll gain: Mental models used by real AI engineersArchitecture patterns for modern AI systemsTradeoff frameworks for real-world decision-makingPractical system design guidanceCareer-relevant knowledge that applies across tools and platformsThese are the skills companies actually pay for.Who this book is forThis handbook is ideal for: AI EngineersData EngineersSoftware EngineersMachine Learning EngineersTechnical ArchitectsBackend Engineers building AI featuresDevelopers transitioning into AI careersSerious learners building production-grade AI systemsIf you understand basic programming and want to move beyond surface-level AI usage, this book will elevate how you design systems.Why this matters nowAI engineering is quickly becoming one of the highest-paid technical careers globally. Companies are no longer hiring prompt writers they are hiring professionals who can: Design, build, evaluate, and maintain reliable AI systems.This book equips you with the mindset and structure to operate at that level.If you're ready to move beyond prompts and start building real AI systems, this handbook is your blueprint. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
