Complete Agentic AI Bootcamp With LangGraph and Langchain

所在平台: Udemy

课程主页: https://www.udemy.com/course/complete-agentic-ai-bootcamp-with-langgraph-and-langchain/

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课程名称:完整的Agentic AI训练营:使用LangGraph和LangChain 课程概述: 您是否对未来的人工智能感到兴奋,其中智能代理能够自主思考、行动和协作以解决复杂任务?欢迎参加完整的Agentic AI训练营,使用LangGraph和LangChain——这是您从零基础开始掌握构建智能代理应用程序的最佳课程!本课程旨在教您关于Agentic AI、LangGraph和LangChain的所有知识,这两者是构建智能AI代理和多代理系统的强大框架。 课程内容包括: 1. 理解Agentic AI的基础知识,以及其与传统AI模型的区别,代理的关键组成部分(记忆、工具、决策)和真实案例。 2. 深入学习LangGraph,这是一个前沿框架,通过图形、事件和状态转移设计复杂的代理工作流程。 3. 学会将LangChain的强大功能与LangGraph结合,构建生产级的代理应用程序。 您将在课程中逐步构建实际项目,包括: - 创建具有记忆和工具使用能力的单一智能代理。 - 设计多代理协作系统,实现消息传递和共享目标。 - 实施自主研究助手、任务自动化机器人及增强检索生成(RAG)代理。 您不仅会学习理论,还会构建和部署多个端到端的代理应用程序,获得构建强大AI系统的实际经验。到课程结束时,您将具备创建自己的AI代理和为各种领域(如搜索、研究、任务规划、客户支持等)部署复杂代理应用程序的技能与信心。 学习内容包括: - Agentic AI的核心概念,以及智能代理的工作原理。 - LangGraph和LangChain的动手掌握,用于构建代理系统。 - 构建自主的、事件驱动的AI工作流程,具备记忆、推理和工具使用能力。 - 部署和优化单代理和多代理应用程序。 - 拥有真实世界项目经验,涉及RAG代理和自动研究代理等。 为什么选择本课程? - 实践项目学习:构建实际的AI代理应用,而非仅仅是玩具示例。 - 全面且新手友好:课程设计从初学者到高级代理构建者。 - 实际技能:学习企业正在开始使用的下一代AI产品技术。 - 前沿技术:掌握LangGraph和LangChain在AI代理编排中的最新创新。 如果您是一名开发者、数据科学家、AI/ML工程师或技术爱好者,想要提升技能并构建前沿AI应用,那么这个课程就是为您准备的!立即报名,开始与智能AI代理共同构建未来!

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课程详情

Are you excited about the future of AI where intelligent agents can think, act, and collaborate to solve complex tasks autonomously? Welcome to the Complete Agentic AI Bootcamp with LangGraph and LangChain - your one-stop course to master the art of building agentic AI applications from scratch!This course is designed to teach you everything you need to know about Agentic AI, LangGraph, and LangChain - two of the most powerful frameworks for building intelligent AI agents and multi-agent systems.You will start by understanding the fundamentals of Agentic AI - how it differs from traditional AI models, the key components of agents (memory, tools, decision-making), and real-world use cases.We will then dive deep into LangGraph, a cutting-edge framework that helps you design complex agent workflows using graphs, events, and state transitions. You'll also learn how to combine LangChain's power with LangGraph to build production-ready agent applications.Throughout the course, you will build real-world projects step-by-step, including:Creating single intelligent agents with memory and tool-usage capabilities.Designing multi-agent collaboration systems with message passing and shared goals.Implementing autonomous research assistants, task automation bots, and retrieval-augmented generation (RAG) agents.You will not just learn theory - you will build and deploy multiple end-to-end agentic applications, gaining real-world experience in constructing powerful AI systems.By the end of this course, you will have the skills and confidence to create your own AI agents and deploy complex agentic applications for various domains like search, research, task planning, customer support, and beyond.What You Will Learn:Core concepts behind Agentic AI and how intelligent agents operate.Hands-on mastery of LangGraph and LangChain for building agent systems.Building autonomous, event-driven AI workflows with memory, reasoning, and tools.Deploying and optimizing single-agent and multi-agent applications.Real-world project experience with RAG agents, auto-research agents, and more.Why Take This Course?Hands-on, Project-Based Learning: Build actual AI agent applications, not just toy examples.Complete and Beginner-Friendly: Designed to take you from beginner to advanced agent builder.Real-World Skills: Learn techniques that companies are starting to use for next-generation AI products.Cutting-Edge Technologies: Master the latest innovations in AI agent orchestration with LangGraph and LangChain.If you are a developer, data scientist, AI/ML engineer, or tech enthusiast looking to future-proof your skills and build cutting-edge AI applications, this is the course for you!Enroll now and start building the future with intelligent AI agents today!

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