EUR 12,71
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: I U Poetry World Pvt Ltd 6/5/2021, 2021
ISBN 10: 939072404X ISBN 13: 9789390724048
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. When time waited. Book.
EUR 13,86
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EUR 16,58
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 64 pages. 5.50x0.15x8.50 inches. In Stock.
EUR 16,61
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Aggiungi al carrelloCondizione: New. In.
Lingua: Inglese
Editore: I U Poetry World Pvt Ltd 2021-06-05, 2021
ISBN 10: 939072404X ISBN 13: 9789390724048
Da: Chiron Media, Wallingford, Regno Unito
EUR 13,52
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Aggiungi al carrelloPaperback. Condizione: New.
EUR 16,47
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EUR 19,02
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
EUR 40,82
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Aggiungi al carrelloCondizione: New.
Da: California Books, Miami, FL, U.S.A.
EUR 54,12
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2026
ISBN 10: 1041166427 ISBN 13: 9781041166429
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 55,35
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. 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.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2026
ISBN 10: 1041166427 ISBN 13: 9781041166429
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
Paperback. Condizione: New. 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.
Da: Majestic Books, Hounslow, Regno Unito
EUR 50,53
Quantità: 3 disponibili
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 41,10
Quantità: 10 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659923567 ISBN 13: 9783659923562
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 47,88
Quantità: 10 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 61,12
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Portoghese
Editore: Edições Nosso Conhecimento, 2025
ISBN 10: 3330971606 ISBN 13: 9783330971608
Da: California Books, Miami, FL, U.S.A.
EUR 40,82
Quantità: Più di 20 disponibili
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Da: California Books, Miami, FL, U.S.A.
EUR 40,82
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
EUR 40,82
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
EUR 40,82
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659923567 ISBN 13: 9783659923562
Da: Revaluation Books, Exeter, Regno Unito
EUR 63,84
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 84 pages. 8.66x5.91x0.19 inches. In Stock.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 18,72
Quantità: Più di 20 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 17,66
Quantità: Più di 20 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2026
ISBN 10: 1041166427 ISBN 13: 9781041166429
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
Paperback. Condizione: New. 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.