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所在平台: Udemy |
课程主页: https://www.udemy.com/course/langgraph-mastery-develop-llm-agents-with-langgraph/
课程评论：没有评论
## LangGraph 精通：使用 LangGraph 开发 LLM 代理 **课程概览：** 本课程将带您深入探索 LangGraph，这是一个强大的框架，用于构建由大型语言模型（LLM）驱动的自主代理和多代理工作流。随着 AI 能力的飞速发展，代理正成为重塑各行各业的关键。本课程将教您如何无缝地将 LLM 代理集成到您的应用程序中，解锁前所未有的可能性。 **您将学到：** * **精通 LangGraph：** 掌握节点、边和状态管理，构建复杂且可控的代理工作流。 * **LangChain 集成：** 将 LLM 与现实世界的工具连接起来，创建强大的多代理应用程序。 * **开发自主代理：** 构建能够观察、反思并具备记忆和工具观察能力的智能代理。 * **RAG 和嵌入：** 使用 Pinecone 实现检索增强生成（RAG），提升搜索能力。 * **调试与扩展：** 利用 LangSmith 平台进行生产级 AI 应用的调试和追踪。 **课程亮点：** * **前沿技能：** 掌握 LangGraph 和 LangChain，紧跟 AI 发展脉搏。 * **实践应用：** 构建可集成到商业、研究等领域的真实 AI 解决方案。 * **循序渐进：** 提供全面的教程，适合从入门到有经验的学习者。 * **抓住 AI 机遇：** 提升您的 AI 开发技能，成为 AI 革命的引领者。 **动手项目：** * **从头开始构建 ReAct 代理** * **开发定制智能聊天机器人** * **创建内容生成工具 (利用反射模式)** * **主项目：构建集成 GPT-4、Pinecone、ArXiv 和 Google SerpAPI 的研究代理** **立即报名，释放 AI 代理的无限潜力，将您的 AI 开发技能提升到新高度！**
Welcome to this brand new course on LangGraph, which allows us to build agentic LLM applications. Unleash the Full Potential of AI with LangGraph & LangChain!By the end of this course, you will be equipped with the skills to seamlessly integrate LLM agents into your applications, opening up new possibilities and horizons.We are witnessing a rapid ascent in AI capabilities, with groundbreaking advancements occurring annually. This swift progress has the potential to significantly reshape our world in the coming years.Three pivotal advancements are poised to make a profound impact: Infinite Context Windows, Text to Action, and Agents.Agents: The New Frontier in AIAgents are autonomous intelligent entities designed to perform tasks, process information, and interact within a language-based framework. These agents are significantly expanding the potential of AI across various domains.Agentic AI is revolutionizing industries, offering enhanced applications in fields such as legal document analysis, medical diagnostics, and software development. Imagine an army of skilled programmers working around the clock to develop software solutions for you.In this course, we will delve into LangGraph, an extension of LangChain specifically designed for agent and multi-agent workflows. LangGraph enables highly customizable and controllable agent flows, ideal for complex scenarios.We will also explore LangSmith, a platform for tracing and debugging your production-grade LLM applications.What You'll Learn:Master LangGraph: Explore nodes, edges, and state management for advanced agent workflows.LangChain Integration: Connect LLMs to real-world tools for powerful multi-agent applications.Develop Autonomous Agents: Build agents that can observe, reflect, and improve with memory and tool observation.RAG & Embeddings: Implement Retrieval-Augmented Generation (RAG) with Pinecone for enhanced search capabilities.Debug & Scale: Use LangSmith to debug and trace production-grade AI applications.Why Enroll in This Course?Cutting-Edge Skills: You'll master LangGraph and LangChain, tools at the forefront of AI development.Practical Applications: Build real-world AI solutions that can be integrated into businesses, research, and more.Step-by-Step Guidance: Whether you're experienced in AI or just getting started, our comprehensive tutorials will guide you through each project.Join the AI Revolution: The demand for AI professionals is skyrocketing-position yourself at the forefront by mastering these critical technologies.Hands-On Projects:ReAct Agent from Scratch: Build a fully functional agent with LangGraph.Custom Chatbot: Develop an intelligent chatbot powered by LangChain.Content Generation Tools: Create AI tools that generate essays, tweets, and more using LangGraph's reflection pattern.Master Project: Build a robust research agent integrating GPT-4, Pinecone, ArXiv, and Google SerpAPI.Ready to build AI agents that can transform industries? Enroll now and take your AI development skills to the next level with LangGraph!Looking forward to seeing you in the course!
