Spring AI with Java: Build AI-Powered Applications (2026), Build AI Apps with Spring AI & Java: RAG, Memory, Tools, Image, Audio & Streaming with Real Use-Cases.
Description
Spring AI with Java: Build AI-Powered Applications (2026) is a comprehensive, hands-on course for Java and Spring Boot developers who want to build modern AI-powered applications using Spring AI 2.0 and Spring Boot 4.x.
Rather than learning isolated examples, you’ll build a complete AI Travel Assistant from scratch and progressively enhance it throughout the course. Starting with a simple AI chatbot, you’ll transform it into a production-style AI application capable of maintaining conversations, invoking Java tools, retrieving knowledge from your own documents, understanding and generating images, processing voice interactions, and delivering a modern streaming chat experience.
Every concept is taught through practical coding exercises, giving you experience with real-world AI application development using Spring AI.
Includes free 90-day access to IntelliJ IDEA Ultimate for a professional development experience.
Includes professionally prepared subtitles in Spanish, Portuguese (Brazil), Japanese, and Chinese.
What you’ll build
- Spring AI Fundamentals: Configure Spring AI 2.0, build AI-powered REST APIs, and understand the complete request lifecycle.
- Prompt Engineering: Design effective prompts, build reusable prompt templates, generate structured responses, and implement prompt chaining.
- Conversation Memory: Build multi-turn conversational AI using ChatMemory, Conversation IDs, persistent JDBC-backed memory, and production memory strategies.
- AI Tool Calling: Enable AI to invoke Java methods, call REST APIs, query databases, return structured results, and chain multiple tools together.
- Retrieval-Augmented Generation (RAG): Build a complete RAG pipeline with PostgreSQL, pgvector, embeddings, multi-document retrieval, and custom Spring AI Advisors.
- Multimodal AI: Build applications that understand images and generate AI images using OpenAI and Stability AI.
- Audio AI: Implement Speech-to-Text, Text-to-Speech, voice-enabled chat, and complete voice AI workflows using Spring AI.
- Modern AI User Experience: Build browser-based chat applications with streaming responses, voice interactions, and a ChatGPT-style user experience.
By the end of this course, you’ll understand not only how to use Spring AI, but also how to build practical AI-powered applications with modern Java and Spring Boot.
Whether you’re building AI assistants, enterprise chatbots, document-aware applications, or intelligent business systems, this course provides the practical skills and real-world examples needed to confidently integrate AI into your Java and Spring Boot applications.
Who this course is for:
- Java developers who want to build AI-powered applications
- Spring Boot engineers exploring generative AI and LLMs
- Backend developers interested in RAG, function calling, and multimodality
- Software developers curious about AI-powered chatbots and assistants.
- Tech leads or architects aiming to build scalable AI features in Spring Boot.
- Anyone interested in combining enterprise Java with modern AI workflows.
