March 2023
Intermediate to advanced
270 pages
6h 54m
English
Overview
Machine Learning in Microservices provides a practical guide for combining microservices architecture with advanced machine learning technologies. Learn how to design scalable enterprise systems by taking a hands-on approach using real-world examples, open-source tools, and the latest AI and ML models.
What this Book will help me do
- Recognize the intricacies of MSA and ML integration to optimize enterprise systems.
- Effectively design and develop microservices architecture suited for intelligent applications.
- Understand and apply key machine learning models and techniques for MSA.
- Overcome common deployment challenges in MSA using ML strategies.
- Utilize open-source tools to develop and maintain scalable microservices solutions.
Author(s)
Mohamed Osam Abouahmed and Omar Ahmed are renowned experts in software architecture and machine learning, with years of experience in designing complex enterprise systems. With this book, they share practical insights and actionable strategies to bridge ML technologies with MSA effectively. Their engaging style provides readers with a clear roadmap for the real-world applications of these concepts.
Who is it for?
This book caters to system architects, machine learning developers, and solution integrators looking to harness the synergy between AI and MSA. Readers should have a foundational knowledge of DevOps, system architecture, Python programming, and AI concepts. If you aim to innovate in enterprise systems or transition to an agile setup using advanced ML technologies, this book is for you.
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