Genai on AWS: A Practical Approach to Building Generative AI Applications on AWS
暫譯: 在AWS上運用生成式AI:構建生成式AI應用的實用方法

Abbasi, Asif, Bergeret, Olivier, Farvault, Joel

  • 出版商: Wiley
  • 出版日期: 2025-04-08
  • 售價: $2,250
  • 貴賓價: 9.5$2,138
  • 語言: 英文
  • 頁數: 368
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1394281285
  • ISBN-13: 9781394281282
  • 相關分類: Amazon Web Services人工智慧
  • 尚未上市,無法訂購

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商品描述

The definitive guide to leveraging AWS for generative AI

GenAI on AWS: A Practical Approach to Building Generative AI Applications on AWS is an essential guide for anyone looking to dive into the world of generative AI with the power of Amazon Web Services (AWS). Crafted by a team of experienced cloud and software engineers, this book offers a direct path to developing innovative AI applications. It lays down a hands-on roadmap filled with actionable strategies, enabling you to write secure, efficient, and reliable generative AI applications utilizing the latest AI capabilities on AWS.

This comprehensive guide starts with the basics, making it accessible to both novices and seasoned professionals. You'll explore the history of artificial intelligence, understand the fundamentals of machine learning, and get acquainted with deep learning concepts. It also demonstrates how to harness AWS's extensive suite of generative AI tools effectively. Through practical examples and detailed explanations, the book empowers you to bring your generative AI projects to life on the AWS platform.

In the book, you'll:

  • Gain invaluable insights from practicing cloud and software engineers on developing cutting-edge generative AI applications using AWS
  • Discover beginner-friendly introductions to AI and machine learning, coupled with advanced techniques for leveraging AWS's AI tools
  • Learn from a resource that's ideal for a broad audience, from technical professionals like cloud engineers and software developers to non-technical business leaders looking to innovate with AI

Whether you're a cloud engineer, software developer, business leader, or simply an AI enthusiast, Gen AI on AWS is your gateway to mastering generative AI development on AWS. Seize this opportunity for an enduring competitive advantage in the rapidly evolving field of AI. Embark on your journey to building practical, impactful AI applications by grabbing a copy today.

商品描述(中文翻譯)

利用 AWS 進行生成式 AI 的權威指南

GenAI on AWS: A Practical Approach to Building Generative AI Applications on AWS 是一本對於任何希望利用 Amazon Web Services (AWS) 進入生成式 AI 世界的人來說必不可少的指南。這本書由一群經驗豐富的雲端和軟體工程師撰寫,提供了一條直接的路徑來開發創新的 AI 應用程式。它提供了一個實用的路線圖,充滿可行的策略,使您能夠編寫安全、高效且可靠的生成式 AI 應用程式,利用 AWS 上最新的 AI 能力。

這本全面的指南從基礎開始,使其對於新手和資深專業人士都能輕鬆理解。您將探索人工智慧的歷史,了解機器學習的基本原理,並熟悉深度學習的概念。它還展示了如何有效利用 AWS 廣泛的生成式 AI 工具套件。通過實際範例和詳細解釋,本書使您能夠在 AWS 平台上實現您的生成式 AI 項目。

在本書中,您將:
- 獲得來自實踐中的雲端和軟體工程師的寶貴見解,了解如何使用 AWS 開發尖端的生成式 AI 應用程式
- 發現適合初學者的 AI 和機器學習介紹,並結合利用 AWS AI 工具的進階技術
- 從一個適合廣泛受眾的資源中學習,無論是雲端工程師和軟體開發人員等技術專業人士,還是希望利用 AI 創新的非技術商業領導者

無論您是雲端工程師、軟體開發人員、商業領導者,還是單純的 AI 愛好者,Gen AI on AWS 都是您掌握 AWS 上生成式 AI 開發的入門之鑰。把握這個機會,在快速演變的 AI 領域中獲得持久的競爭優勢。今天就抓住這本書,開始您構建實用且具影響力的 AI 應用程式的旅程。

作者簡介

OLIVIER BERGERET is a technical leader at Amazon Web Services (AWS), working on database and analytics services. He has over 25 years of experience in data engineering and analytics. Since joining AWS in 2015, he's supported the launch of most of AWS AI services including Amazon SageMaker and AWS DeepRacer. He is a regular speaker and presenter at various data, AI and cloud events such as AWS re: Invent, AWS Summits and third-party conferences.

ASIF ABBASI is a Principal Solutions Architect at AWS and has spent the last 20 years working in various roles with focus around Data Analytics, AI/ML, DWH Strategic and Technical Implementations, J2EE Enterprise applications design/development and Project Management. Asif is an Amazon Certified SA, Hortonworks Certified Hadoop professional and Administrator, Certified Spark Developer, SAS Certified Predictive Modeler, along with being a Sun Certified Enterprise Architect and a Teradata Certified Master.

JOEL FARVAULT is a Principal Solutions Architect Analytics at Amazon Web Services. He has 25 years' experience working on enterprise architecture, data strategy, and analytics, mainly in the financial services industry. Joel has led data transformation projects on fraud analytics, business intelligence, and data governance. He is also a lecturer on Data Analytics at IA School, at Neoma Business School and at Ecole Superieure de Genie Informatique (ESGI). Joel holds several associate and specialty certifications on AWS.

作者簡介(中文翻譯)

OLIVIER BERGERET 是亞馬遜網路服務(AWS)的技術領導者,專注於資料庫和分析服務。他在資料工程和分析領域擁有超過 25 年的經驗。自 2015 年加入 AWS 以來,他支持了大多數 AWS 人工智慧服務的推出,包括 Amazon SageMaker 和 AWS DeepRacer。他經常在各種資料、人工智慧和雲端活動中擔任演講者和報告者,例如 AWS re:Invent、AWS 峰會和第三方會議。

ASIF ABBASI 是 AWS 的首席解決方案架構師,過去 20 年來在多個角色中工作,專注於資料分析、人工智慧/機器學習、數據倉儲的戰略和技術實施、J2EE 企業應用程式的設計/開發以及專案管理。Asif 是亞馬遜認證的解決方案架構師、Hortonworks 認證的 Hadoop 專業人員和管理員、認證的 Spark 開發人員、SAS 認證的預測模型師,並且是 Sun 認證的企業架構師和 Teradata 認證的大師。

JOEL FARVAULT 是亞馬遜網路服務的首席解決方案架構師,專注於分析。他在企業架構、資料策略和分析方面擁有 25 年的經驗,主要在金融服務行業工作。Joel 曾主導有關詐騙分析、商業智慧和資料治理的資料轉型專案。他也是 IA School、Neoma 商學院和高等計算機工程學校(ESGI)的資料分析講師。Joel 擁有多項 AWS 的副級和專業認證。

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