Build AI Apps with Spring AI, OpenAI, Ollama & SpringBoot

About this course

Course Description

Unlock the power of Generative AI within your Java applications using Spring AI, OpenAI, and Ollama!

In this hands-on course, you’ll learn how to build intelligent, scalable AI-driven applications using the robust Spring Boot ecosystem. From crafting prompts to building full RAG-based systems, you’ll gain practical skills to integrate LLMs into real-world projects.

Here’s a breakdown of what you’ll learn in each section:

Course Introduction & Setup

Understand the course structure, prerequisites, and how to set up your Java and Spring AI environment.

Introduction to Large Language Models (LLMs), OpenAI & ChatGPTLearn the basics of LLMs, their evolution, applications, and how OpenAI’s ChatGPT fits into modern AI workflows.

Getting Started with Spring AI and OpenAI APIConfigure your project and IDE, create your first chat-based app using ChatClient, and understand prompts, tokens, and OpenAI request parameters.

Working with Chat Models and OpenAIChatModelCustomize LLM responses using ChatOptions, enable streaming, and build responsive AI chat applications.

Prompt Engineering with Spring AI

Master prompt engineering techniques like zero-shot, few-shot, chain-of-thought, and multi-step prompting to guide AI outputs effectively.

Generating Structured Data with Spring AI

Learn to create structured outputs using prompt templates and Spring’s converters, including lists, maps, and entity objects.

Tool Calling (Function Calling) with Spring AIIntegrate external systems into your AI apps with OpenAI’s tool calling—fetch live data like weather, currency rates, and more.

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