Building Generative AI Solutions for Industries with AWS: Improve Operational Efficiency and Scalability with AWS
暫譯: 使用 AWS 為產業打造生成式 AI 解決方案：提升營運效率與可擴展性

Sendas, Neel, Saxena, Saurabh, Sacco, Joseph

Building Generative AI Solutions for Industries with AWS: Improve Operational Efficiency and Scalability with AWS
  • 出版商: Apress
  • 出版日期: 2026-09-17
  • 售價: $2,640
  • 貴賓價: 9.5 折 $2,508
  • 語言: 英文
  • 頁數: 383
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798868828294
  • ISBN-13: 9798868828294
  • 相關分類: Large language model、Amazon Web Services

    • 海外代購書籍(需單獨結帳)

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商品描述

Building Generative AI Solutions for Industry with AWS is a comprehensive guide for developers, and data scientists aiming to harness the power of Generative AI across a range of industrial domains using Amazon Web Services. This hands-on book provides readers with the knowledge and practical skills to design, secure, govern, and deploy GenAI solutions effectively in real-world environments.

The book begins with an introduction to the fundamentals of Generative AI and the AI/ML services offered by AWS. Readers will explore industry use cases and learn how to kick-start their journey building GenAI applications on the AWS cloud. It focuses on security and governance, covering essential practices for data privacy, access control, encryption, compliance, and ethical AI deployment. Each chapter then dives deep into specific industry applications--automotive, manufacturing, healthcare, financial services, and media & entertainment. From autonomous driving and predictive maintenance to fraud detection and content creation, readers will learn how GenAI is transforming operations and unlocking new opportunities in these fields. The book also addresses cost management strategies for GenAI on AWS, offering guidance on optimizing resources and budgeting efficiently.

Concluding with future possibilities and implementation best practices, this book equips professionals with the tools and insights to build scalable, secure, and compliant GenAI systems tailored to their domain.

What you will learn:

  • Understand the fundamentals of Generative AI and AWS AI/ML services.
  • How to build and deploy secure, compliant GenAI applications on AWS.
  • Explore real-life GenAI use cases across industries like automotive, healthcare, and finance.
  • Gain insights into managing GenAI costs and optimizing AWS resources.

Who this book is for:

Software developers, machine learning engineers, data scientists, and cloud architects who want to build real-life Generative AI solutions using AWS.

商品描述(中文翻譯)

Building Generative AI Solutions for Industry with AWS 是一本全面的指南，專為希望運用 Amazon Web Services 的力量，在各種產業領域導入 Generative AI 的開發人員與資料科學家而撰寫。本實作導向的書籍將提供讀者在真實環境中有效設計、保護、治理及部署 GenAI 解決方案所需的知識與實務技能。

本書首先介紹 Generative AI 的基礎，以及 AWS 提供的 AI/ML 服務。讀者將探索各產業的應用案例，並了解如何在 AWS 雲端上開始建置 GenAI 應用程式。本書著重於安全性與治理，涵蓋資料隱私、存取控制、加密、法規遵循及符合倫理的 AI 部署等重要實務。接著，每章將深入探討特定產業的應用，包括汽車、製造、醫療保健、金融服務，以及媒體與娛樂。從自動駕駛與預測性維護，到詐欺偵測與內容創作，讀者將了解 GenAI 如何改變這些領域的營運方式，並開創新的機會。本書也將探討在 AWS 上管理 GenAI 成本的策略，提供最佳化資源配置與有效進行預算管理的指引。

本書最後以未來發展可能性及實作最佳實務作結，協助專業人士掌握建置可擴充、安全且符合規範之 GenAI 系統所需的工具與洞見，並依照自身領域的需求進行客製化。

您將學到：

• 了解 Generative AI 與 AWS AI/ML 服務的基礎。
• 學習如何在 AWS 上建置及部署安全且符合規範的 GenAI 應用程式。
• 探索汽車、醫療保健及金融等產業中的真實 GenAI 應用案例。
• 深入了解 GenAI 成本管理及 AWS 資源最佳化的方法。

本書適合對象：

希望使用 AWS 建置真實 Generative AI 解決方案的軟體開發人員、機器學習工程師、資料科學家及雲端架構師。

作者簡介

Neel Sendas is a Principal Technical Account Manager at Amazon Web Services (AWS). In this role, he serves as the AWS Cloud Operations lead for some of the largest enterprises that utilize AWS services. Drawing from his expertise in cloud operations, in this book, Neel presents solutions to common challenges related to ML Cloud Governance, Cloud Finance, and Cloud Operational Resilience & Management at scale. Neel also plays a crucial role as part of the core team of Machine Learning Technical Field Community leaders at AWS, where he contributes to shaping the roadmap of AWS Artificial Intelligence and Machine Learning (AI/ML) Services. Neel is based in the state of Georgia, United States.

Saurabh Saxena is Senior Principal Technical Account Manager at AWS. During the last 12 years, he has provided strategic technical guidance to enterprise customers, helping them navigate complex cloud transformations and maximise their AWS investments. With deep technical expertise across AWS services and a focus on business outcomes, he partners with key stakeholders to architect solutions that drive innovation and operational excellence. Saurabh often leads high-impact customer engagements, developing technical roadmaps, and coordinating cross-functional teams to guarantee successful cloud adoption. He specialises in translating complex technical concepts into business value, helping organizations leverage AWS technologies to achieve their strategic goals.

Joseph Sacco is a Principal Technical Account Manager at Amazon Web Services (AWS), as well as a member of the AWS Healthcare and Life Sciences Technical Field Community (TFC). In his role, he serves as a strategic technical advisor for some of the largest Healthcare and Life Science (HCLS) customers that utilize AWS services. Prior to joining Amazon, Joseph was the Director of IT at a Healthcare startup focused on optimizing electronic healthcare data. Joseph brings over 15 years of experience with technology solutions and digital transformations in the HCLS space, from private providers and biopharmaceutical, to some of the largest health systems around the globe. Pulling from his expertise in HCLS and Generative AI, in this book, Joseph provides real-life examples on how AI can help to speed up lengthy regulatory and compliance processes, enhance diagnostic accuracy and increase speed in radiology workflows, reduce clinician burnout, enhance clinical decision making, and more. Joseph is based in the state of Connecticut, United States.

作者簡介(中文翻譯)

Neel Sendas 是 Amazon Web Services (AWS) 的首席技術客戶經理（Principal Technical Account Manager）。在此職務中，他擔任多家使用 AWS 服務之大型企業的 AWS Cloud Operations 負責人。憑藉其在雲端營運方面的專業經驗，Neel 在本書中提出大規模處理 ML Cloud Governance、Cloud Finance，以及 Cloud Operational Resilience & Management 常見挑戰的解決方案。Neel 同時也是 AWS Machine Learning Technical Field Community 領導者核心團隊的重要成員，協助規劃 AWS Artificial Intelligence and Machine Learning (AI/ML) Services 的發展藍圖。Neel 目前居住於美國喬治亞州。

Saurabh Saxena 是 AWS 的資深首席技術客戶經理（Senior Principal Technical Account Manager）。在過去 12 年間，他為企業客戶提供策略性技術指導，協助客戶因應複雜的雲端轉型，並最大化 AWS 投資效益。Saurabh 對各項 AWS 服務具備深厚的技術專業，並以商業成果為核心，與主要利害關係人合作，設計能推動創新與營運卓越的解決方案。他經常主導高影響力的客戶合作專案、制定技術藍圖，並協調跨職能團隊，以確保雲端採用順利完成。他專精於將複雜的技術概念轉化為商業價值，協助組織運用 AWS 技術實現策略目標。

Joseph Sacco 是 Amazon Web Services (AWS) 的首席技術客戶經理（Principal Technical Account Manager），也是 AWS Healthcare and Life Sciences Technical Field Community (TFC) 的成員。在此職務中，他擔任多家使用 AWS 服務之大型 Healthcare and Life Science (HCLS) 客戶的策略性技術顧問。加入 Amazon 之前，Joseph 曾任一家 Healthcare 新創公司的 IT 部門主管，該公司專注於最佳化電子醫療資料。Joseph 在 HCLS 領域擁有超過 15 年的技術解決方案與數位轉型經驗，服務對象涵蓋私人醫療服務提供者、生物製藥公司，以及全球部分規模最大的醫療體系。憑藉其在 HCLS 與 Generative AI 方面的專業經驗，Joseph 在本書中提供真實案例，說明 AI 如何協助加速冗長的法規與合規流程、提升診斷準確度並加快放射科工作流程、降低臨床人員的職業倦怠、強化臨床決策，以及更多應用。Joseph 目前居住於美國康乃狄克州。

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