TY  - GEN
AU  - Bass, Len
AU  -  Lu, Qinghua
AU  - Weber, Ingo
AU  - Zhu, Liming 
TI  - Engineering AI systems: architecture and DevOps essentials
SN  - 9780138261412
U1  - 006.3 BAS 
PY  - 2025///
CY  - New Jersey
PB  - Addison-Wesley Professional
KW  - Artificial Intelligence
KW  - Software Engineering
KW  - AI Model Life Cycle
KW  - Software Architecture
KW  - Engineering and Operating AI Systems
N1  - Include Index and References
N2  - 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
ER  -