📚 Lesson 1构建智能的自然语言理解模块
核心目标：构建智能的自然语言理解模块技术实现：开发Intent Classification与Entity Extraction系统实现Slot Filling与Information Extraction构建Context-Aware Conversation Manageme... Log in to view full content
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AI Engineer项目
参与真实AI产品开发，全面掌握构建企业级AI Agent系统的核心技术栈和实战开发能力
- 8周掌握LangGraph+MCP+RAG技术栈，构建可部署的企业级多智能体AI系统，具备独立开发AI Agent产品的核心能力
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Phased course schedule, flexible for working professionals and different time zones
📚 Lesson 1实现多Agent协作与MCP集成
核心目标：实现多Agent协作与MCP集成技术实现：构建MCP (Model Context Protocol) Server实现Multi-Agent Communication与Task Distribution开发Agent Coordination与Workflow Ma... Log in to view full content
📚 Lesson 1构建企业级知识检索问答系统
核心目标：构建企业级知识检索问答系统技术实现：搭建Vector Database与Embedding Pipeline实现Document Chunking与Semantic Indexing开发Retrieval-Augmented Generation模块优化Ranking ... Log in to view full content
👨🏫 Tutorial搭建基础的Agentic System框架
核心目标：搭建基础的Agentic System框架技术实现：构建LangGraph State Management系统集成OpenAI GPT-4 API与Function Calling实现基础的Conversational Agent建立State Persistence... Log in to view full content
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