Java 25 & Spring Boot 4 Backend Engineering with AI

Go from Java fundamentals to building AI-powered backend applications with Spring Boot and Spring AI. You will start with core Java: variables, conditionals, loops, methods, arrays, object-oriented programming, collections, exceptions, generics and concurrency, building a solid foundation even if you have never written Java before. From there you move into Spring Boot, learning dependency injection and inversion of control, building your first CRUD REST API, understanding how Spring Boot web applications really work under the hood, building professional REST APIs with proper validation and error handling, using filters, interceptors and aspect-oriented programming, working with data through JDBC, Hibernate and Spring Data JPA, managing transactions correctly, securing your APIs with Spring Security, JWT and OAuth 2.0, and testing your applications properly. The final third of the course covers Spring AI in depth: AI and Spring AI fundamentals, prompting and structured output, working with multiple models and providers, Retrieval-Augmented Generation (RAG) for grounding responses in real documents, conversational state and memory for multi-turn chat applications, tool calling and the Model Context Protocol (MCP) for letting models take real actions, advisors and observability for building reliable production AI features, and a capstone module on building real, combined Spring AI applications. The course closes by covering how to stay current as Spring AI and the broader AI ecosystem keep evolving. Throughout, the emphasis is on genuine understanding and reliable, honestly-explained techniques, not shortcuts.