It was great to be able to learn through hands-on practice, testing various functional examples ranging from the theory of Spring AI to applications like RAG and MCP. It was very helpful. (^^)

unicodaum

I highly recommend Spring AI to developers using Spring Boot and React, as well as those considering the introduction of AI systems in corporate environments.

This course goes beyond a simple introduction to libraries; it helps you understand the core concepts and internal structure of Spring AI, and strengthens your practical implementation skills through various hands-on examples. The course is based on Spring AI version 1.1.x and provides continuous technical support and expansion strategies to ensure you can adapt to future version upgrades.

Furthermore, we expand the practical value of Spring AI technology by utilizing MCP (Model Context Protocol) to achieve cross-domain context integration, AI linkage in distributed environments, and AI architecture design suitable for enterprise environments.

With the goal of building AI systems that can actually be deployed in corporate settings, this will serve as a practical guide that balances theory and hands-on experience.

tootoo

지식공유자의 깜짝할인

From the basics of the latest Spring AI to MCP

실습 중심

ai in practice

AI 활용법

리액트

react

SpringAI

springai

입문

초급

중급이상

스프링부트

Spring Boot

챗지피티

ChatGPT

검색증강생성

Model Context Protocol

Setting up a Spring AI development environment in Spring Boot

Chapter 1. Chat Completion

Chapter 2. Prompt Template & Structured Output Converter

Chapter 3. Advisor API

Chapter 4. Multimodality API – Images & Vision

5. Multimodality API - Generating with Voice

Chapter 6. Tool Calling

Chapter 7. Embedding Model

Chapter 8. RAG (Retrieval-Augmented Generation)

Chapter 9. MCP (Model Context Protocol)

Appendix. React