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所在平台: Udemy |
课程主页: https://www.udemy.com/course/agentic-ai-bootcamp-with-langgraphlangchain-and-mcp/
课程评论：没有评论
课程名称：代理智能AI训练营 - LangGraph、Langchain和多代理控制协议(MCP) 课程概述： 加入这个实践性训练营，解锁AI开发的未来。课程专注于使用LangGraph、LangChain和多代理控制协议(MCP)构建智能自主系统。无论你是开发者、AI爱好者还是科技企业家，这个课程将引导你从头开始创建强大的代理智能AI应用，并最终部署到生产环境中。你将学习如何架构基于代理的系统，使用LangChain的强大框架进行推理、规划和协作。还将深入探索LangGraph，一个支持图形记忆、状态转变及多代理协同创新的扩展工具。了解如何集成MCP以控制代理行为、通信和协调，并通过实际案例进行学习。到课程结束时，你将完成一个完整的端到端代理智能AI项目，并自信地将其部署到Hugging Face，实现基于云的推理和实时交互。 学习内容： - 代理智能AI的基础知识及LangChain生态系统 - 构建基于LangGraph的代理，使用持久记忆和工作流 - 通过MCP管理复杂的多代理系统 - 与LangChain整合API、工具和语言模型 - 全栈项目开发：从本地原型到Hugging Face部署 为何选择此课程？ 本课程结合理论与实践项目，帮助你掌握构建可部署代理智能AI系统的技能。你将在使用前沿库和框架方面获得信心，这些技术正在塑造LLM应用的未来。 立即注册，开始构建下一代自主AI代理！
Unlock the future of AI development with this hands-on bootcamp focused on building intelligent, autonomous systems using LangGraph, LangChain, and Multi-Agent Control Protocol (MCP). Whether you're a developer, AI enthusiast, or tech entrepreneur, this course will guide you through creating powerful agentic AI applications from scratch to production deployment. In this course, you'll explore how to architect agent-based systems that reason, plan, and collaborate using LangChain's powerful framework. You'll dive deep into LangGraph, an innovative extension enabling graph-based memory, state transitions, and multi-agent orchestration. Learn how to integrate MCP to control agent behavior, communication, and coordination with real-world use cases.By the end of this bootcamp, you'll build a complete end-to-end agentic AI project and deploy it confidently on Hugging Face, enabling cloud-based inference and real-time interaction.What You'll Learn:Fundamentals of Agentic AI and the LangChain ecosystemBuilding LangGraph-based agents with persistent memory and workflowsUsing MCP for managing complex multi-agent systemsIntegrating APIs, tools, and language models with LangChainFull-stack project development: from local prototyping to Hugging Face deploymentWhy Take This Course?This course blends theory with practical projects, giving you the skills to not only understand but build deployable agentic AI systems. You'll gain confidence working with cutting-edge libraries and frameworks that are shaping the future of LLM applications.Enroll now and start building the next generation of autonomous AI agents!
