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Spring AI for Java Developers: Beginner’s Guide
New
Rating: 4.9 out of 5(11 ratings)
1,222 students

Spring AI for Java Developers: Beginner’s Guide

Learn Spring AI basics with demos: chat, RAG, text-to-SQL, analytics, and a clear roadmap to build real apps
New
Created byInfiproton Tech, Harish B N
Last updated 4/2026
English

What you'll learn

  • Understand Spring AI fundamentals and how to integrate AI into Java backend applications
  • Build a working AI chat application using Spring AI, OpenAI, and REST APIs
  • Explore real-world AI use cases including chat, RAG, text-to-SQL, analytics, and multi-service workflows
  • Learn how to control AI behavior using prompts and integrate external tools into AI applications
  • Identify the right learning path and next steps to build production-ready AI applications

Course content

6 sections • 29 lectures • 1h 1m total length

  • Welcome & Course Overview1:13

    Get a quick introduction and see what you’ll build using Spring AI.

  • What You’ll Learn in This Course0:52

    Understand key concepts, demos, and how this course guides your AI journey.

  • What This Course Is (and Is Not)0:52

    Set clear expectations and understand how this course fits your learning path.

Requirements

  • Basic knowledge of Java and Spring Boot is recommended but not mandatory
  • Familiarity with REST APIs and backend development concepts will be helpful
  • No prior AI or machine learning experience is required
  • An OpenAI API key (or similar LLM provider) to run demos

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 AI

  • Build a working chat application using Spring Boot and OpenAI

  • Explore real-world use cases like text-to-SQL, RAG, analytics, and distributed AI systems

  • Learn how to control AI behavior using system prompts

  • Integrate external tools and APIs into AI applications

This 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 application

  • Understand different patterns used in real-world AI systems

  • Know how to choose the right approach based on your use case

  • Have a clear roadmap for learning Spring AI in depth

If you are a Java developer looking to get started with AI in a structured and practical way, this course provides the perfect starting point.

Who this course is for:

  • Developers who want to integrate AI (LLMs)
  • Backend engineers curious about real-world AI use cases
  • Developers who want a clear roadmap before diving into advanced AI topics
  • Beginners in AI who prefer a practical, demo-driven introduction instead of theory-heavy content

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