LangGraph- Develop LLM powered AI agents with LangGraph

所在平台: Udemy

课程主页: https://www.udemy.com/course/langgraph/

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课程简介

课程名称:LangGraph - 使用LangGraph开发LLM驱动的AI代理 课程概述: 欢迎来到首个LangGraph Udemy课程——释放LLM代理的力量!本综合性课程旨在快速教授您如何利用LangGraph库为LLM代理应用程序赋能。您将获得开发前沿LLM代理解决方案所需的技能和知识,适用于多种主题。请注意,此课程并非面向初学者,您需要具备软件工程背景,并熟练掌握Python和LangChain。课程使用Pycharm IDE,但您可以选择任何文本编辑器,因为我们仅使用IDE的基本功能,如调试和运行脚本。 课程涵盖的主题包括: - LangChain - LCE - LangGraph - 代理 - 多代理 - 反思代理 - 反射代理 - LangSmith - CrewAI与LangGraph的比较 - 高级RAG - 纠正RAG - 自我RAG - 自适应RAG - GPT研究员 - LangGraph生态系统:LangGraph Studio / LangGraph IDE、LangGraph云API、LangGraph云托管服务 在课程中,您将进行实际操作和现实项目,以巩固对所学概念和技术的理解。课程结束时,您将熟练使用LangGraph创建强大、高效和多功能的LLM应用程序,适用于各种使用场景。 本课程不仅是学习平台,还是一个社区。您将享有终身访问课程的权限,并获得: - 专门的故障排除支持 - 附带额外AI资源的Github链接、常见问题解答和故障排除指南 - 课程持续更新和改进的无额外费用 免责声明: 请注意,此课程并非面向初学者。您需要具备软件工程背景,并熟练掌握Python。课程中将使用Pycharm IDE,但您可根据个人喜好选择其他文本编辑器。

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课程详情

Welcome to first LangGraph Udemy course - Unleashing the Power of LLM Agents!This comprehensive course is designed to teach you how to QUICKLY harness the power the LangGraph library for LLM agentic applications. This course will equip you with the skills and knowledge necessary to develop cutting-edge LLM Agents solutions for a diverse range of topics.Please note that this is not a course for beginners. This course assumes that you have a background in software engineering and are proficient in Python & LangChain. I will be using Pycharm IDE but you can use any editor you'd like since we only use basic feature of the IDE like debugging and running scripts.The topics covered in this course include:LangChainLCELLangGraphAgentsMulti AgentsReflection AgentsReflexion AgentsLangSmithCrewAI VS LangGraphAdvanced RAGCorrective RAGSelf RAgAdaptive RAGGPT ResearcherLangGraph Ecosystem:LangGraph Studio / LangGraph IDELangGraph Cloud API LangGraph Cloud Managed ServiceThroughout the course, you will work on hands-on exercises and real-world projects to reinforce your understanding of the concepts and techniques covered. By the end of the course, you will be proficient in using LangGraph to create powerful, efficient, and versatile LLM applications for a wide array of usages.This is not just a course, it's also a community. Along with lifetime access to the course, you'll get:Dedicated troubleshooting support with meGithub links with additional AI resources, FAQ, troubleshooting guidesNo extra cost for continuous updates and improvements to the courseDISCLAIMERSPlease note that this is not a course for beginners. This course assumes that you have a background in software engineering and are proficient in Python. I will be using Pycharm IDE but you can use any editor you'd like since we only use basic feature of the IDE like debugging and running scripts.

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