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Spring Boot AI Essentials: From Models to Microservices
In an era where Artificial Intelligence is reshaping every industry, the ability to integrate AI seamlessly into backend systems has become a critical skill for modern developers. Spring Boot AI Essentials is a comprehensive, hands-on guide tailored for Java professionals who want to build, deploy, and scale intelligent applications using the full power of the Spring Boot ecosystem.
Designed for developers, architects, and engineers, this book takes a practical, end-to-end approach to AI integration within enterprise Java environments. It bridges the gap between data science and production software, helping you move from training ML models to delivering real-world, intelligent microservices at scale.
Whether you’re a backend developer bringing intelligence into Spring Boot services or a machine learning engineer deploying models via Java APIs, this book provides the knowledge, tools, and best practices you need to build robust, secure, and scalable AI-powered systems.
What You’ll
Set up AI-enabled Spring Boot projects with clean architecture
Serve models via RESTful APIs using DL4J, TensorFlow, Keras, or ONNX
Build real-time and batch prediction pipelines with Spring integrations
Manage model versions and lifecycle in production environments
Apply RBAC, JWT authentication, and secure API endpoints
Deploy AI microservices with Docker and Kubernetes
Monitor performance using Micrometer, Prometheus, and tracing tools
Implement reactive AI pipelines using WebFlux and Spring Cloud
Real-World Case Studies
Deploying a fraud detection model as a secure API
Building a customer recommendation engine
Integrating a natural language chatbot backend
Managing intelligent microservices in cloud-native systems
Who This Book Is
Java and Spring Boot developers entering the AI domain
Machine learning engineers seeking reliable deployment strategies
Architects designing secure and scalable intelligent systems
DevOps professionals supporting AI in production
Students and professionals breaking into AI development using Java
Why This Book Stands
Developer-first approach focused on real-world applications
End-to-end AI from model training to production deployment
Covers modern DevOps, security, containerization, and scalability patterns
Supports models from multiple AI frameworks (TensorFlow, Keras, DL4J, ONNX, and more)
With guided examples, production-ready code, and architectural insights, Spring Boot AI Essentials is your ultimate roadmap for building intelligent, enterprise-grade applications using the Java technologies you already know.
Designed for developers, architects, and engineers, this book takes a practical, end-to-end approach to AI integration within enterprise Java environments. It bridges the gap between data science and production software, helping you move from training ML models to delivering real-world, intelligent microservices at scale.
Whether you’re a backend developer bringing intelligence into Spring Boot services or a machine learning engineer deploying models via Java APIs, this book provides the knowledge, tools, and best practices you need to build robust, secure, and scalable AI-powered systems.
What You’ll
Set up AI-enabled Spring Boot projects with clean architecture
Serve models via RESTful APIs using DL4J, TensorFlow, Keras, or ONNX
Build real-time and batch prediction pipelines with Spring integrations
Manage model versions and lifecycle in production environments
Apply RBAC, JWT authentication, and secure API endpoints
Deploy AI microservices with Docker and Kubernetes
Monitor performance using Micrometer, Prometheus, and tracing tools
Implement reactive AI pipelines using WebFlux and Spring Cloud
Real-World Case Studies
Deploying a fraud detection model as a secure API
Building a customer recommendation engine
Integrating a natural language chatbot backend
Managing intelligent microservices in cloud-native systems
Who This Book Is
Java and Spring Boot developers entering the AI domain
Machine learning engineers seeking reliable deployment strategies
Architects designing secure and scalable intelligent systems
DevOps professionals supporting AI in production
Students and professionals breaking into AI development using Java
Why This Book Stands
Developer-first approach focused on real-world applications
End-to-end AI from model training to production deployment
Covers modern DevOps, security, containerization, and scalability patterns
Supports models from multiple AI frameworks (TensorFlow, Keras, DL4J, ONNX, and more)
With guided examples, production-ready code, and architectural insights, Spring Boot AI Essentials is your ultimate roadmap for building intelligent, enterprise-grade applications using the Java technologies you already know.
665 pages, Kindle Edition
Published August 5, 2025
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