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Architecting AI Software Systems

You're reading from   Architecting AI Software Systems Crafting robust and scalable AI systems for modern software development

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Product type Paperback
Published in Oct 2025
Last Updated in Oct 2025
Publisher Packt
ISBN-13 9781804615973
Length 212 pages
Edition 1st Edition
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Authors (2):
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Richard D Avila Richard D Avila
Author Profile Icon Richard D Avila
Richard D Avila
Imran Ahmad Imran Ahmad
Author Profile Icon Imran Ahmad
Imran Ahmad
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Toc

Table of Contents (14) Chapters Close

Preface 1. Architecting Fundamentals
2. Fundamentals of AI System Architecture FREE CHAPTER 3. The Case for Architecture 4. Software Engineering and Architecture 5. Architecting AI Systems
6. Conceptual Design for AI Systems 7. Requirements and Architecture for AI Pipelines 8. Design, Integration, and Testing 9. Architecting a Generative AI System – A Case Study 10. Insights and Future Directions 11. Unlock Your Book’s Exclusive Benefits 12. Other Books You May Enjoy
13. Index

Design, Integration, and Testing

How is it that we can declare Mozart’s and Beethoven’s composed music as masterpieces? Was this determined by people merely reading the sheet music? Of course not – we acknowledge these composers’ brilliance when we actually hear the music. Similarly, while an architecture may be well conceived, it remains merely a paper artifact until executed.

This chapter provides practical insights into how architecture supports the design, integration, and testing phases of AI system development. We focus on the production pipeline because the development pipeline is often domain-dependent and not intended for production environments.

In this chapter, we will discuss the following:

  • Design fundamentals
  • System mode and state identification
  • Logical component definition
  • System tactics and patterns
  • Integration approaches
  • Testing
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