Snowflake AI Engineering Handbook (Paperback)

Code Mercer

ISBN 13: 9798245990439

Published by Independently Published, 2026

About this Item

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 written 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.

Seller Inventory # 9798245990439

Bibliographic Details

• Title: Snowflake AI Engineering Handbook (Paperback)
• Publisher: Independently Published
• Publication Date: 2026
• Language: English
• ISBN 13: 9798245990439
• Binding: Paperback
• Condition: new

About this title

Synopsis

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 written 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 demos
• Build high-accuracy Retrieval-Augmented Generation (RAG) systems
• Engineer vector search pipelines that return relevant results
• Architect agentic workflows for multi-step reasoning
• Evaluate AI systems using real engineering metrics
• Avoid common architecture mistakes that break AI products
• Optimize latency, cost, and performance in production systems
• Think like a professional AI engineer, not a hobbyist

What makes this book different

Most AI books focus on tools.
This book focuses on thinking, architecture, and engineering judgment.

You’ll gain:

• Mental models used by real AI engineers

• Architecture patterns for modern AI systems

• Tradeoff frameworks for real-world decision-making

• Practical system design guidance

• Career-relevant knowledge that applies across tools and platforms

These are the skills companies actually pay for.

Who this book is for

This handbook is ideal for:

• AI Engineers

• Data Engineers

• Software Engineers

• Machine Learning Engineers

• Technical Architects

• Backend Engineers building AI features

• Developers transitioning into AI careers

• Serious learners building production-grade AI systems

If you understand basic programming and want to move beyond surface-level AI usage, this book will elevate how you design systems.

Why this matters now

AI 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.