The AI Cloud Infrastructure Blueprint: Practical Designs and Configurations for Scalable AI
暫譯: AI雲端基礎設施藍圖:可擴展AI的實用設計與配置
Thummarakoti, Sairohith, Vududala, Santosh Kumar, Madupati, Bhanuprakash
- 出版商: Productivity Press
- 出版日期: 2026-04-29
- 售價: $1,930
- 貴賓價: 9.5 折 $1,833
- 語言: 英文
- 頁數: 282
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1041166427
- ISBN-13: 9781041166429
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相關分類:
AI Coding、Amazon Web Services
尚未上市,無法訂購
商品描述
This book offers a comprehensive, practice-driven guide to designing and managing robust AI cloud infrastructure systems for real-world applications.
As enterprises continue to adopt AI to enhance automation, decision-making, and customer engagement, there is a growing demand for cloud-native architectures that can scale with increasing data volumes, support model training, ensure operational efficiency, and meet stringent security and governance requirements. This book addresses that demand by equipping readers with the foundational knowledge and advanced strategies needed to build, deploy, and maintain AI systems on modern cloud platforms. What makes this book unique is its end-to-end perspective, which goes beyond traditional AI model development. It covers key pillars such as hybrid and multi-cloud strategies, container orchestration, serverless computing, edge AI deployment, AI governance, cost optimization, and sustainable computing, all framed around the AI model lifecycle. Readers will gain practical insights through architectural diagrams, platform comparisons (AWS, Azure, GCP), and use cases across healthcare, finance, and manufacturing. It also explores the integration of AutoML, MLOps, quantum computing, and green AI within cloud ecosystems. This book fills a critical gap by merging cloud infrastructure engineering with AI-specific challenges, offering a rare blend of systems thinking and AI expertise.
Targeted toward architects, data scientists, DevOps engineers, cloud professionals, and graduate students, it serves as both a reference guide and a strategic roadmap for building future-ready AI systems in the cloud.
商品描述(中文翻譯)
這本書提供了一個全面且以實踐為導向的指南,旨在設計和管理適用於現實應用的穩健 AI 雲基礎設施系統。
隨著企業持續採用 AI 來增強自動化、決策制定和客戶互動,對於能夠隨著數據量增加而擴展的雲原生架構的需求日益增長,這些架構需要支持模型訓練、確保運營效率,並滿足嚴格的安全和治理要求。本書針對這一需求,為讀者提供了建立、部署和維護現代雲平台上 AI 系統所需的基礎知識和進階策略。本書的獨特之處在於其端到端的視角,超越了傳統的 AI 模型開發。它涵蓋了關鍵支柱,如混合雲和多雲策略、容器編排、無伺服器計算、邊緣 AI 部署、AI 治理、成本優化和可持續計算,所有內容都圍繞 AI 模型生命周期進行框架設計。讀者將通過架構圖、平台比較(AWS、Azure、GCP)以及在醫療、金融和製造業的案例獲得實用的見解。本書還探討了 AutoML、MLOps、量子計算和綠色 AI 在雲生態系統中的整合。這本書填補了一個關鍵空白,將雲基礎設施工程與 AI 特定挑戰相結合,提供了系統思維和 AI 專業知識的罕見融合。
本書針對架構師、數據科學家、DevOps 工程師、雲專業人士和研究生,既可作為參考指南,也可作為構建未來準備的雲端 AI 系統的戰略藍圖。
作者簡介
Sairohith Thummarakoti is a lead architect, researcher, and multi-book author with expertise in Pega Business Process Management (BPM), AI-powered cloud infrastructure, engineering excellence, and enterprise technology. With over a decade of experience, he designs scalable, intelligent systems that power automation, decision support, and digital modernization across complex organizational environments.
His core work focuses on intelligent workflow design, multi-cloud optimization, and the integration of AI with cloud-native services. He has led initiatives using low-code platforms like Pega to streamline claims automation, modernize core business processes, and strengthen real-time analytics and infrastructure resilience.
Sairohith has authored several books on AI, cloud architecture, and digital transformation and holds patents in AI-based data optimization and cloud systems engineering. His research appears in respected journals and conferences, covering topics such as cloud-native development, intelligent automation, and enterprise platform modernization.
He has reviewed more than 300 manuscripts for leading IEEE and Springer venues and regularly serves as a session chair and technical committee member. As the Founding Chair of the IEEE Computer Society--Columbia Section, he has led workshops, organized speaker sessions, and built a vibrant local chapter focused on emerging technologies.
Sairohith is also a passionate educator and mentor. He has delivered invited talks at international conferences and serves as a guest lecturer and speaker for universities and professional events. He actively supports Faculty Development Programs (FDPs), training academic and industry professionals on cutting-edge topics such as AI in healthcare, intelligent automation, and cloud infrastructure.
His work bridges academic research, industry application, and professional education, empowering the next generation of engineers and architects to build systems that are not just technically sound but truly impactful.
Santosh Kumar Vududala is a globally recognized ETL QA Lead, Automation Strategist, and AI/ML Specialist with over 17 years of experience delivering transformative digital solutions across finance, insurance, capital markets, and compliance ecosystems. A champion of innovation in intelligent automation, Santosh combines deep domain expertise with emerging technologies to modernize enterprise data, enhance operational resilience, and reduce regulatory risk.
His professional journey spans the design and deployment of advanced AI/ML-powered testing frameworks, cloud-native data validation platforms, and compliance-first automation pipelines. Santosh has delivered projects involving Automation Anywhere, Blue Prism, Tosca, Informatica, IICS, Workday, Snowflake, Oracle, and EDM, with hands-on implementation of AI models and intelligent RPA in enterprise systems.
Santosh has played critical roles in high-stakes initiatives, including cloud migration from Oracle to Snowflake, AML monitoring systems using Actimize and Mantas, and AI-enhanced metadata transformation using EDM and DRM. His work has significantly improved fraud detection workflows, process transparency, and decision intelligence in Fortune 500 financial institutions.
In addition to his technical mastery, Santosh has served as a reviewer for international journals and conferences where he has reviewed over a dozen scholarly papers. His contributions to automation research and AI integration are well documented in academic publications such as Transforming Metadata Systems through EDM Integration.
His accolades include:
- Outstanding Technical/Digital Innovation Award--Asia Research Awards
- Global Tech Hero Award--for cross-continental digital impact
- Automation Anywhere BotGames 2021--2nd Place out of 1500+ participants
- Asian African Iconic Award--for excellence in enterprise AI innovation
With certifications in Scrum, ISTQB, Tosca, RPA, and memberships in IEEE Senior Membership, ACM, and SCRS, Santosh continues to influence the intersection of AI, automation, compliance, and cloud ecosystems. His forward-thinking vision and practical experience make him a trailblazer in the digital transformation of mission-critical sectors.
Bhanuprakash Madupati is an acclaimed author, technology leader, innovator, speaker, reviewer, and mentor with over a decade of experience shaping the future of AI, machine learning, and digital transformation. He has authored a few books and published over 30 peer-reviewed research papers in leading journals, making significant contributions to fields such as artificial intelligence, cybersecurity, cloud computing, and data science.
Bhanuprakash holds several patents in the fields of artificial intelligence and machine learning, demonstrating his deep commitment to driving innovation in technology. His expertise in creating cutting-edge solutions has led to numerous advancements in AI, which continue to influence the landscape of modern technology.
With a dual master's degree in computer science and information technology management, Bhanuprakash has demonstrated exceptional leadership in delivering secure, scalable, and AI-powered solutions across diverse industries, including healthcare, finance, aviation, and government sectors. His expertise lies in bridging theoretical knowledge with practical, real-world applications, ensuring that technology delivers tangible benefits to organizations and communities.
A sought-after speaker, Bhanuprakash has presented at renowned conferences such as WCSC, ICCI, and STAI, where he has shared his insights on the future of AI and the ethical implications of technology. In addition to his speaking engagements, he is an active mentor, guiding emerging technologists and fostering the next generation of leaders in the tech industry.
As a peer reviewer for respected journals under Springer and IEEE, Bhanuprakash upholds academic standards while providing valuable feedback to researchers and practitioners. He is also frequently invited to serve on numerous hackathons and international award panels, helping to identify and support groundbreaking innovations.
A Senior Member of IEEE, a Full Member of Sigma Xi, and a Fellow of the British Computer Society (FBCS), Bhanuprakash's contributions to the tech industry have earned him recognition as a thought leader and trailblazer in the field.
Dr. Keshav Kaushik is a distinguished cybersecurity and digital forensics expert, currently serving as Associate Professor at the Sharda School of Computer Science & Engineering, Sharda University, Greater Noida, India. A key member of the Cybersecurity Centre of Excellence, he has been instrumental in advancing research and education in cybersecurity, AI-driven security solutions, and digital forensics. Recognized among the World's Top 2% Scientists by Stanford University and Elsevier (2024), he has made significant contributions to academia and research. His academic journey includes a prestigious faculty internship at IIT Ropar during the Summer Faculty Research Fellow Programme 2016, demonstrating his commitment to continuous learning. With over 150 publications, including 25 peer-reviewed SCI/SCIE/Scopus-indexed journal articles and 50+ Scopus-indexed conference papers, he has established himself as a leading researcher. Additionally, he has authored 30 books and 25 book chapters, reinforcing his expertise in cybersecurity and digital forensics. An innovator in his field, Dr. Kaushik holds one granted patent, six published patents, and five granted copyrights. His editorial leadership includes serving as Guest Editor for the IEEE Journal of Biomedical and Health Informatics (SCIE, IF: 7.7) and Associate Editor for journals such as IECE Transactions on Emerging Trends in Network Systems, IECE Transactions on Sustainable Computing, International Journal of Sensors, Wireless Communications and Control (Scopus-indexed, Bentham Science), and International Journal of Information Security and Privacy (IJISP, ESCI, Scopus-indexed). He is also an Editorial Board Member of Springer's International Cybersecurity Law Review. Dr. Kaushik is a Certified Ethical Hacker (CEH v11), CQI & IRCA Certified ISO/IEC 27001:2013 Lead Auditor, Quick Heal Academy Certified Cyber Security Professional (QCSP), and IBM Cybersecurity Analyst, further validating his expertise. He is a Vice-Chairperson of the Meerut ACM Professional Chapter, an appointed Bentham Ambassador by Bentham Science Publishers, and a member of the International Association of Engineers (IAENG). A dynamic speaker and mentor, he has delivered over 50 national and international talks on cybersecurity, AI security, and digital forensics. His mentorship was recognized in the Smart India Hackathon 2017, earning appreciation from AICTE, MHRD, and ISRO. He has also contributed to cybercrime investigation training and has been honored by the Uttarakhand Police for his efforts in cybersecurity education. A two-time GATE qualifier with a 96.07 percentile (2012 and 2016), he continues to drive impactful research, innovation, and education in cybersecurity, making significant contributions to academia and the industry.
作者簡介(中文翻譯)
**Sairohith Thummarakoti** 是一位首席架構師、研究員及多本書籍的作者,專長於 Pega 商業流程管理 (BPM)、人工智慧驅動的雲端基礎設施、工程卓越及企業技術。擁有超過十年的經驗,他設計可擴展的智能系統,推動自動化、決策支持及數位現代化,適用於複雜的組織環境。
他的核心工作專注於智能工作流程設計、多雲優化及人工智慧與雲原生服務的整合。他曾主導使用低代碼平台如 Pega 的計畫,以簡化索賠自動化、現代化核心業務流程,並加強即時分析及基礎設施的韌性。
Sairohith 已出版多本有關人工智慧、雲端架構及數位轉型的書籍,並在人工智慧數據優化及雲端系統工程方面擁有專利。他的研究發表於受尊敬的期刊及會議,涵蓋雲原生開發、智能自動化及企業平台現代化等主題。
他已為領先的 IEEE 和 Springer 期刊審閱超過 300 篇手稿,並定期擔任會議主席及技術委員會成員。作為 IEEE 計算機學會哥倫比亞分會的創始主席,他主導了工作坊、組織演講會議,並建立了一個專注於新興技術的活躍地方分會。
Sairohith 也是一位充滿熱情的教育者和導師。他在國際會議上發表受邀演講,並擔任大學及專業活動的客座講師和演講者。他積極支持教職員發展計畫 (FDP),培訓學術界及業界專業人士,涵蓋如醫療保健中的人工智慧、智能自動化及雲端基礎設施等前沿主題。
他的工作橋接了學術研究、產業應用及專業教育,賦能下一代工程師和架構師建立不僅在技術上可靠且真正有影響力的系統。
**Santosh Kumar Vududala** 是一位全球知名的 ETL QA 領導者、自動化策略家及 AI/ML 專家,擁有超過 17 年的經驗,提供金融、保險、資本市場及合規生態系統的轉型數位解決方案。作為智能自動化創新的倡導者,Santosh 將深厚的領域專業知識與新興技術結合,現代化企業數據、增強操作韌性並降低合規風險。
他的職業生涯涵蓋了先進的 AI/ML 驅動測試框架、雲原生數據驗證平台及合規優先自動化管道的設計與部署。Santosh 已交付涉及 Automation Anywhere、Blue Prism、Tosca、Informatica、IICS、Workday、Snowflake、Oracle 和 EDM 的專案,並在企業系統中實施 AI 模型及智能 RPA。
Santosh 在高風險計畫中扮演了關鍵角色,包括從 Oracle 到 Snowflake 的雲端遷移、使用 Actimize 和 Mantas 的 AML 監控系統,以及使用 EDM 和 DRM 的 AI 增強元數據轉換。他的工作顯著改善了財富 500 強金融機構的詐騙檢測工作流程、過程透明度及決策智能。
除了技術專業外,Santosh 還擔任國際期刊和會議的審稿人,審閱超過十篇學術論文。他在自動化研究及 AI 整合方面的貢獻在學術出版物中有良好記錄,如《透過 EDM 整合轉型元數據系統》。
他的榮譽包括:
- 亞洲研究獎的傑出技術/數位創新獎
- 全球科技英雄獎——因跨大陸的數位影響
- Automation Anywhere BotGames 2021——1500 多名參賽者中的第二名
- 亞洲非洲標誌性獎——因在企業 AI 創新方面的卓越表現
擁有 Scrum、ISTQB、Tosca、RPA 的認證,以及 IEEE 高級會員、ACM 和 SCRS 的會員資格,Santosh 繼續影響 AI、自動化、合規及雲生態系統的交集。他的前瞻性視野和實踐經驗使他成為關鍵任務領域數位轉型的開拓者。
**Bhanuprakash Madupati** 是一位備受讚譽的作者、技術領導者、創新者、演講者、審稿人及導師,擁有超過十年的經驗,塑造人工智慧、機器學習及數位轉型的未來。他已出版幾本書籍,並在領先期刊上發表超過 30 篇同行評審的研究論文,對人工智慧、網絡安全、雲計算及數據科學等領域做出了重要貢獻。
Bhanuprakash 在人工智慧和機器學習領域擁有多項專利,顯示出他對推動技術創新的深厚承諾。他在創造尖端解決方案方面的專業知識促成了人工智慧的多項進展,這些進展持續影響現代技術的格局。
擁有計算機科學及資訊技術管理的雙碩士學位,Bhanuprakash 在提供安全、可擴展及 AI 驅動的解決方案方面展現了卓越的領導力,涵蓋醫療保健、金融、航空及政府等多個行業。他的專業知識在於將理論知識與實際應用相結合,確保技術為組織和社區帶來實際利益。
作為一位受歡迎的演講者,Bhanuprakash 曾在 WCSC、ICCI 和 STAI 等知名會議上發表演講,分享他對人工智慧未來及技術倫理影響的見解。除了演講活動外,他還是一位活躍的導師,指導新興技術專家,培養下一代科技行業的領導者。
作為 Springer 和 IEEE 受尊敬期刊的同行評審,Bhanuprakash 在提供有價值的反饋給研究人員和從業者的同時,維護學術標準。他還經常受邀參加多個黑客馬拉松和國際獎項評審小組,幫助識別和支持突破性的創新。
作為 IEEE 高級會員、Sigma Xi 的正式會員及英國計算機學會 (FBCS) 的院士,Bhanuprakash 在科技行業的貢獻使他獲得了思想領袖和開拓者的認可。
**Dr. Keshav Kaushik** 是一位傑出的網絡安全和數位取證專家,目前擔任印度大諾伊達 Sharda 大學計算機科學與工程學院的副教授。作為網絡安全卓越中心的關鍵成員,他在推進網絡安全、人工智慧驅動的安全解決方案及數位取證的研究和教育方面發揮了重要作用。被史丹佛大學和 Elsevier (2024) 認定為全球前 2% 科學家,他在學術和研究方面做出了重要貢獻。他的學術旅程包括在 2016 年夏季教職員研究獎學金計畫中於 IIT Ropar 的著名教職實習,顯示出他對持續學習的承諾。擁有超過 150 篇出版物,包括 25 篇同行評審的 SCI/SCIE/Scopus 索引期刊文章和 50 多篇 Scopus 索引會議論文,他已建立自己作為領先研究者的地位。此外,他還出版了 30 本書籍和 25 篇書章,進一步強化了他在網絡安全和數位取證方面的專業知識。作為該領域的創新者,Dr. Kaushik 擁有一項已授權專利、六項已發表專利及五項已授權版權。他的編輯領導包括擔任《IEEE 生物醫學與健康信息學期刊》的客座編輯 (SCIE, IF: 7.7) 及《IECE 新興網絡系統趨勢期刊》、《IECE 可持續計算期刊》、《傳感器國際期刊》、《無線通信與控制期刊》(Scopus 索引, Bentham Science) 和《信息安全與隱私國際期刊》(IJISP, ESCI, Scopus 索引) 的副編輯。他還是 Springer 的《國際網絡安全法評論》的編輯委員會成員。Dr. Kaushik 是一名認證的道德駭客 (CEH v11)、CQI & IRCA 認證的 ISO/IEC 27001:2013 首席審核員、Quick Heal Academy 認證的網絡安全專業人員 (QCSP) 和 IBM 網絡安全分析師,進一步驗證了他的專業知識。他是 Meerut ACM 專業分會的副主席,並被 Bentham Science Publishers 任命為 Bentham 大使,還是國際工程師協會 (IAENG) 的成員。作為一位充滿活力的演講者和導師,他在網絡安全、人工智慧安全和數位取證方面發表了超過 50 場國內外演講。他的導師工作在 2017 年的智慧印度黑客馬拉松中獲得認可,受到 AICTE、MHRD 和 ISRO 的讚賞。他還參與了網絡犯罪調查培訓,並因在網絡安全教育方面的努力而受到烏塔拉坎德警方的表彰。作為兩次 GATE 考試合格者,並在 2012 年和 2016 年獲得 96.07 的百分位數,他繼續推動網絡安全領域的影響力研究、創新和教育,對學術界和行業做出重要貢獻。