9781066782857 - Cloud Computing for Artificial Intelligence: Concepts, Methods, and Practical Tools by Menéndez, Dr Héctor David (6 results)
- Softcover
Seller: California Books, Miami, FL, U.S.A.California Books
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£ 78.10
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Condition: New.
Language: English
Published by CreateSpace Independent Publishing Platform, 2026
- Softcover
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Neuware.
- Softcover
- Print on Demand
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Paperback. Condition: new. Paperback. Cloud computing has become the foundation of modern artificial intelligence, yet many learners are introduced to cloud platforms before they understand the principles that underpin them. This book takes a different approach. Developed from a university module on Cloud Computing for Artificia…l Intelligence, it provides a provider-independent introduction to the architectures, technologies, and engineering practices that power contemporary AI systems. Readers will learn how to design and deploy AI applications using containers, microservices, RESTful services, databases, MLOps pipelines, orchestration frameworks, Kubernetes, large language models, AI agents, and distributed computing technologies. The book goes beyond deployment to address critical professional concerns such as security, monitoring, testing, sustainability, resource management, and cloud cost estimation. Unlike many cloud textbooks, the practical exercises are designed to run primarily on modest hardware, enabling readers to develop valuable cloud and AI engineering skills without spending substantial amounts on commercial cloud services. By focusing on transferable concepts rather than provider-specific products, the book equips readers with the knowledge required to confidently work across cloud platforms and to build scalable, reliable, secure, sustainable, and cost-effective AI solutions. This book provides a provider-independent introduction to the technologies and engineering practices that power AI systems in the cloud. Readers will learn to design and deploy AI apps using containers, microservices, RESTful services, MLOps pipelines, orchestration, Kubernetes, large language models, and distributed computing technologies. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Softcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
£ 77.99
£ 37.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Paperback. Condition: new. Paperback. Cloud computing has become the foundation of modern artificial intelligence, yet many learners are introduced to cloud platforms before they understand the principles that underpin them. This book takes a different approach. Developed from a university module on Cloud Computing for Artificia…l Intelligence, it provides a provider-independent introduction to the architectures, technologies, and engineering practices that power contemporary AI systems. Readers will learn how to design and deploy AI applications using containers, microservices, RESTful services, databases, MLOps pipelines, orchestration frameworks, Kubernetes, large language models, AI agents, and distributed computing technologies. The book goes beyond deployment to address critical professional concerns such as security, monitoring, testing, sustainability, resource management, and cloud cost estimation. Unlike many cloud textbooks, the practical exercises are designed to run primarily on modest hardware, enabling readers to develop valuable cloud and AI engineering skills without spending substantial amounts on commercial cloud services. By focusing on transferable concepts rather than provider-specific products, the book equips readers with the knowledge required to confidently work across cloud platforms and to build scalable, reliable, secure, sustainable, and cost-effective AI solutions. This book provides a provider-independent introduction to the technologies and engineering practices that power AI systems in the cloud. Readers will learn to design and deploy AI apps using containers, microservices, RESTful services, MLOps pipelines, orchestration, Kubernetes, large language models, and distributed computing technologies. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
