Comprehensive AI development course building AI agents with Spring Boot 3, Java 21, and Spring AI. Covers LLM integration, RAG, vector databases, and ReAct pattern for developers aiming to master enterprise AI technologies.

What it does

Yu-ai-agent is an end-to-end AI development tutorial project that teaches modern AI engineering practices through building practical applications. It demonstrates how to construct an AI dating expert application and YuManus - a self-planning intelligent agent using ReAct pattern - while covering the complete AI development lifecycle.

Key features

Spring Boot 3 and Java 21 backend framework
Spring AI framework core concepts and implementation
Large language model (LLM) integration and API connectivity
Prompt engineering and optimization techniques
RAG (Retrieval Augmented Generation) implementation
Vector database integration and management
Tool Calling and function execution patterns
MCP (Model Context Protocol) implementation
AI Agent development with ReAct pattern
Cursor AI tooling integration

Who it's for

Backend and full-stack developers seeking to build AI-powered applications and advance their careers in the AI era. This project-based learning approach helps developers gain practical experience with enterprise-grade AI technologies while building production-ready applications.

What it does

Key features

Spring Boot 3 and Java 21 backend framework
Spring AI framework core concepts and implementation
Large language model (LLM) integration and API connectivity
Prompt engineering and optimization techniques
RAG (Retrieval Augmented Generation) implementation
Vector database integration and management
Tool Calling and function execution patterns
MCP (Model Context Protocol) implementation
AI Agent development with ReAct pattern
Cursor AI tooling integration

yu-ai-agent

What it does

Key features

Who it's for

yu-ai-agent

What it does

Key features

Who it's for

Related Skills

Monday.com MCP Server

Sentry MCP Server

Cloudflare MCP Server