Description

AI and Microservices Integration Book

AI and Microservices Integration Book is a practical and insightful resource that explores how artificial intelligence can be seamlessly integrated into microservices architectures. This book is designed for developers, architects, and business leaders who want to build scalable, intelligent, and adaptive applications by combining the flexibility of microservices with the power of AI.

Book Description

Microservices have revolutionized software development by enabling modular, scalable, and resilient systems. Artificial intelligence, on the other hand, empowers applications with predictive analytics, automation, and intelligent decision-making. This book bridges these two domains, offering a roadmap for integrating AI models into microservices-based systems. Readers will learn how to design AI-powered microservices, deploy them in cloud-native environments, and manage their lifecycle effectively. With case studies, best practices, and hands-on examples, the book provides actionable insights for building next-generation applications that are both intelligent and scalable.

What You’ll Learn

• Foundations of microservices architecture
• Core principles of artificial intelligence
• Designing AI-powered microservices
• Deploying AI models in cloud-native environments
• Integration patterns for AI and microservices
• Case studies in finance, healthcare, and e-commerce
• Best practices for scalability, resilience, and security

Requirements

• Basic knowledge of software development and APIs
• Familiarity with cloud computing concepts
• Understanding of AI fundamentals is helpful but not required

About the Author

This book is authored by experts in AI and cloud-native software architecture. With years of experience in building enterprise-grade applications, the authors combine theoretical knowledge with practical insights to help readers implement AI-driven microservices effectively.

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