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Spring AI for Java Developers: Beginner’s Guide

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Updated Apr 2026

Course Description

This course is a practical introduction to building AI-powered applications using Spring AI and Java. It is designed for developers who want to integrate large language models (LLMs) into real backend systems without getting overwhelmed by theory.You will begin by understanding how Spring AI fits into modern application architecture and how it simplifies working with AI in Spring Boot applications. The course then focuses on real-world use cases through fast, demo-driven lessons.In this course, you will:Understand the fundamentals of AI, LLMs, and Spring AIBuild a working chat application using Spring Boot and OpenAIExplore real-world use cases like text-to-SQL, RAG, analytics, and distributed AI systemsLearn how to control AI behavior using system promptsIntegrate external tools and APIs into AI applicationsThis course is intentionally designed to be simple, fast-paced, and practical. Instead of going deep into implementation details, it focuses on giving you a clear mental model of what is possible with Spring AI.By the end of this course, you will:Have built your first AI-powered backend applicationUnderstand different patterns used in real-world AI systemsKnow how to choose the right approach based on your use caseHave a clear roadmap for learning Spring AI in depthIf you are a Java developer looking to get started with AI in a structured and practical way, this course provides the perfect starting point.
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Course Details

  • Level All Levels
  • Lectures 1
  • Duration