Build a ChatGPT App in 30 Mins with Spring Boot & Ollama

Are you a Java developer looking to break into the world of Artificial Intelligence without spending a fortune on expensive API keys? Welcome to your fast-track guide to modern AI engineering! In this high-impact, 30-minute crash course, you will learn how to build a fully functional, local ChatGPT clone application from scratch using the power of Spring Boot and Ollama.

Disclaimer: This course uses locally running, open-source AI models via Ollama purely for educational and learning purposes. It does not use or replicate proprietary models like ChatGPT, and no paid API keys are required.

AI development is moving at lightning speed, and companies are actively looking for backend developers who know how to integrate Large Language Models (LLMs) into production-ready Java environments. This course skips the long hours of dry theory and jumps straight into practical, hands-on coding.

Led by MJ, a seasoned Software Engineer with over 8 years of industry experience, you will be guided step-by-step through the entire implementation process. We will look at how to leverage Spring AI—the official ecosystem for AI development in Java—and connect it seamlessly to Ollama running locally on your machine. You will learn how to run open-source models like Llama 3, manage system prompts, and expose secure REST endpoints that handle intelligent, real-time user conversations.

By the end of this short course, you won't just have theoretical knowledge; you will have a working, production-ready AI application running on your local computer that you can showcase in your developer portfolio.

This course is designed to be highly interactive. If you ever get stuck, you can easily reach out for support in the Q&A section. All important resources, Topmate links, and YouTube community links are readily accessible on my Udemy instructor profile.

Don't let the AI revolution leave your Java skills behind. Scroll up, click the enroll button, and build your first local AI application in the next 30 minutes!