Spring AI with Java

Build AI-Powered Applications

Build intelligent, AI-powered applications using Spring AI with Java & Spring Boot. From prompt engineering to RAG implementation, learn everything you need to integrate AI into your enterprise applications.

Comprehensive Course
Hands-on Projects
Certificate Included
Start Learning Today
SpringAIController.java 
@RestController
public class AIController {
    
    @Autowired
    private ChatClient chatClient;
    
    @PostMapping("/chat")
    public String chat(@RequestBody String prompt) {
        return chatClient.call(prompt);
    }
    
    @PostMapping("/generate-image")
    public ImageResponse generateImage(
        @RequestBody ImageRequest request) {
        return imageClient.call(request);
    }
}

Why Choose This Spring AI Course?

Prompt Engineering

Master the art of crafting effective prompts, using templates, and generating structured outputs with Spring AI.

Memory & Context

Build multi-turn conversations that remember user input and maintain continuity across interactions.

Function Calling

Integrate AI with real-world data and services, handle structured results, and manage errors effectively.

RAG Implementation

Query documents, work with persistent vector stores, and handle multi-document knowledge systems.

Image Processing

Caption, generate, and style images to create comprehensive multimodal AI applications.

Production Ready

Learn best practices for building scalable and maintainable AI-powered enterprise applications.

What You'll Learn in This Spring AI Course

Build AI-powered apps using Spring AI with Java & Spring Boot
Master prompt engineering with system, user, assistant messages and Prompt Templates
Work with memory & context to create multi-turn, human-like conversations
Implement function calling & tools for real-world tasks like weather APIs and Database integrations
Apply RAG techniques to query PDFs and multiple documents with vector stores
Learn best practices for scalable, production-ready AI integrations
Work with images - captioning, image generation, and styling images

Technologies You'll Master

Spring AI Java Spring Boot OpenAI API Vector Stores RAG LLMs Multimodal AI

Spring AI Course Prerequisites

Basic knowledge of Java programming
Familiarity with Spring Boot (controllers, services, configs)
An IDE like IntelliJ IDEA or VS Code installed
An OpenAI API key (free/paid) to follow hands-on examples
Curiosity to explore how AI integrates with real apps

Who Should Take This Spring AI Course

Java Developers

Who want to build AI-powered applications and stay ahead in the industry

Spring Boot Engineers

Exploring generative AI and LLMs integration in enterprise applications

Backend Developers

Interested in RAG, function calling, and multimodality features

AI Enthusiasts

Curious about AI-powered chatbots and intelligent assistants

Tech Leaders

Aiming to build scalable AI features in Spring Boot applications

Enterprise Developers

Interested in combining enterprise Java with modern AI workflows

Meet Your Spring AI Instructors

Infiproton Tech & Harish B N

Software Engineer | Mentor | Your Guide to Real-World Coding Skills

5.0 Instructor Rating
2,775+ Students
20+ Years Experience

With over 20 years of experience in software development, Harish specializes in building modern web apps, exploring APIs, and simplifying complex technologies for learners. At Infiproton Tech, the focus is on helping developers master real-world technologies through practical insights and clear explanations.

Ready to Build AI-Powered Applications?

Join thousands of developers mastering Spring AI and take your Java skills to the next level

Enroll in the Course

Available on Udemy • Certificate of Completion Included