The intersection of enterprise Java and Generative AI is where the future of application development lies, and Spring AI is the bridge that brings these worlds together. This hands-on course is your practical guide to building intelligent, AI-powered applications using the tools you already know: Java and Spring Boot. From crafting effective prompts and managing conversation memory to integrating real-world data and handling images and audio, you will learn to build context-aware applications that go far beyond simple chatbots.

This Course Offers

• Complete mastery of Spring AI fundamentals and prompt engineering: You will learn to set up your first Spring AI project, craft effective system and user prompts, and use Prompt Templates for structured outputs.
• Practical skills in building stateful AI applications: You will learn to implement memory and context for multi-turn conversations, use function calling to integrate with real-world APIs and databases, and build RAG pipelines for querying documents.
• Expertise in multimodal AI: You will learn to handle images (captioning, generation, styling) and build voice-enabled AI backends with speech-to-text, text-to-speech, and audio-based chat.
• Knowledge of production-ready practices: You will learn best practices for building scalable and maintainable AI applications, including creating real-time streaming chat UIs powered by Spring AI.

Why We Love This Course

1. It is designed for Java and Spring Boot developers. This course is not a generic AI tutorial; it is a focused guide on using the Spring ecosystem to build AI applications, making it immediately relevant for enterprise developers.
2. It covers a comprehensive range of AI features. From prompt engineering and RAG to function calling, image handling, and audio AI, the course provides a complete toolkit for building modern AI-powered backends.
3. It is intensely practical and demo-driven. The course uses real-world use cases and practical examples, ensuring you learn by building and can immediately apply your skills to real projects.
4. It bridges the gap between theory and production. The course goes beyond basic demos to cover production-ready practices, helping you build scalable and maintainable AI applications.

Building AI applications with a robust, enterprise-grade framework is a powerful career move. This course provides a clear, practical, and comprehensive path to building that expertise. It is backed by a money-back guarantee if it does not meet your expectations.

• This course is perfect for Java developers who want to build AI-powered applications.
• It is ideal for Spring Boot engineers exploring generative AI and LLMs.
• The course is also great for backend developers interested in RAG, function calling, and multimodality, software developers curious about AI-powered chatbots, and tech leads aiming to build scalable AI features in Spring Boot.

• Basic knowledge of Java programming is required.
• Familiarity with Spring Boot (controllers, services, configs) is needed.
• An IDE like IntelliJ IDEA or VS Code is required.
• An OpenAI API key is needed to follow hands-on examples.

Interested in exploring more lessons? Check out our full course library to continue building your skills and advancing your learning journey.