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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 fundamentals

Design is the definition of components, their relationships, and processes in a specific configuration that aligns with an underlying architecture. Let’s explore the most relevant design from major artifacts, including requirements, use cases, modes, patterns, and tactics.

Requirements

Building a production pipeline requires defining the requirements the pipeline must meet. Several requirement classes exist that collectively ensure the system satisfies both the functional and non-functional aspects needed for production-grade operation.

Performance requirements

Performance requirements focus on transactions, volumes, transformations, and processing execution time. These metrics establish clear thresholds for acceptable performance and aspirational targets for optimal operation:

Metric

Description

Threshold

...
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