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Engineering AI Systems: Architecture and DevOps Essentials
book

Engineering AI Systems: Architecture and DevOps Essentials

by Len Bass, Qinghua Lu, Ingo Weber, Liming Zhu
March 2025
Intermediate to advanced
320 pages
8h 31m
English
Addison-Wesley Professional
Content preview from Engineering AI Systems: Architecture and DevOps Essentials

6

System Life Cycle

with Boming Xia

Stop the life cycle—I want to get off!

—Barry Boehm

AT THIS POINT, you might think you are done. You have trained AI models; you have deployed and wrapped them as services for use; you understand interfaces and software engineering background. What more is to be done?

As our opening quote suggests, there are multiple steps to getting an AI system into production. Barry Boehm is complaining about the fact that a life cycle contains so many steps. Once you have created the AI model, you must create the non-AI portion, you must build the AI system (with the AI model as just one component), test the built system, and deploy and operate the system. These activities form a sequence in the life cycle, as shown in ...

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Publisher Resources

ISBN: 9780138261542