Engineering AI systems: architecture and DevOps essentials

By:

Bass, Len

Contributor(s):

Publication details: New Jersey: Addison-Wesley Professional, 2025Description: xx, 299p.: ill.; pbk: 23cmISBN:

9780138261412

Subject(s):

DDC classification:

006.3 BAS

Summary: In today's rapidly evolving world, integrating artificial intelligence (AI) into your systems is no longer optional. Engineering AI Systems: Architecture and DevOps Essentials is a comprehensive guide to mastering the complexities of AI systems engineering. This book combines robust software architecture with cutting-edge DevOps practices to deliver high-quality, reliable, and scalable AI solutions. Experts Len Bass, Qinghua Lu, Ingo Weber, and Liming Zhu demystify the complexities of engineering AI systems, providing practical strategies and tools for seamlessly incorporating AI in your systems. You will gain a comprehensive understanding of the fundamentals of AI and software engineering and how to combine them to create powerful AI systems. Through real-world case studies, the authors illustrate practical applications and successful implementations of AI in small- to medium-sized enterprises across various industries, and offer actionable strategies for designing, building, and operating AI systems that deliver real business value. https://www.pearson.com/en-us/subject-catalog/p/engineering-ai-systems-devops-and-architecture-approaches/P200000011757/9780138261450?srsltid=AfmBOoopKOlOwRWBh0qvBny2_-Umrrtpi1loZmIhgURxT2gdGSaR_jEy

List(s) this item appears in: New Arrivals - January 2026

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Barcode
Books	IIT Gandhinagar	General	006.3 BAS (Browse shelf(Opens below))	1	Not for Issue	036621

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Previous	006.3 AKH AI for designers	006.3 AST Artificial intelligence: demystified	006.3 BAR Our final Invention : artificial intelligence and the end of the human era	006.3 BAS Engineering AI systems: architecture and DevOps essentials	006.3 BIN Winning with AI: your guide to AI literacy	006.3 BOR Moral AI: and how we get there	006.3 CAM AI by design: a plan for living with Artificial Intelligence	Next

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In today's rapidly evolving world, integrating artificial intelligence (AI) into your systems is no longer optional. Engineering AI Systems: Architecture and DevOps Essentials is a comprehensive guide to mastering the complexities of AI systems engineering. This book combines robust software architecture with cutting-edge DevOps practices to deliver high-quality, reliable, and scalable AI solutions.
Experts Len Bass, Qinghua Lu, Ingo Weber, and Liming Zhu demystify the complexities of engineering AI systems, providing practical strategies and tools for seamlessly incorporating AI in your systems. You will gain a comprehensive understanding of the fundamentals of AI and software engineering and how to combine them to create powerful AI systems. Through real-world case studies, the authors illustrate practical applications and successful implementations of AI in small- to medium-sized enterprises across various industries, and offer actionable strategies for designing, building, and operating AI systems that deliver real business value. https://www.pearson.com/en-us/subject-catalog/p/engineering-ai-systems-devops-and-architecture-approaches/P200000011757/9780138261450?srsltid=AfmBOoopKOlOwRWBh0qvBny2_-Umrrtpi1loZmIhgURxT2gdGSaR_jEy

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