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所在平台: Udemy |
课程主页: https://www.udemy.com/course/langgraph-from-basics-to-advanced-ai-agents-with-llms/
课程评论：没有评论
**课程名称：** LangGraph：从基础到高级AI Agent（LLMs驱动） **课程概述：** 本课程将带您全面了解AI Agent的世界，专注于使用LangGraph构建先进的AI系统。课程从基础概念出发，深入讲解LangGraph的工作原理，包括图、节点、边和状态等核心要素。您将从构建一个基础Agent开始，通过实践掌握核心技能。 随后，课程将进一步升级，通过构建一个“新闻写作Agent”，教授如何整合状态和工具，重点关注实际应用，并指导您如何有效地可视化和测试Agent。 最后，课程将介绍高级技术，如Agent的“反思”（reflection）、“人工干预”（human-in-the-loop）流程、检查点（checkpointers）和多线程（threads）。您还将学会如何集成自定义工具，为Agent增添更多功能和灵活性。 无论您是初学者还是希望提升技能的开发者，本课程都提供了一个结构化、循序渐进的学习方法，帮助您精通使用LangGraph进行AI Agent的开发。 **课程目标：** 本课程旨在让您掌握构建自定义AI Agent所需的理解和技能。虽然市面上已有许多现成的Agent，但在实际生产环境中，定制化能力至关重要。学完本课程，您将能够独立构建自定义的LangGraph工作流。 **先修要求：** * 具备Python编程经验。 * 具备一定的LangChain使用经验。
Embark on a comprehensive journey into the world of AI agents with LangGraph. This course is designed to guide you from fundamental concepts to advanced techniques, equipping you with the skills to build sophisticated AI systems. Starting with the core principles, you'll learn about graphs, nodes, edges, and states, and see how they form the foundation of LangGraph workflows. The course begins with constructing a basic agent, allowing you to grasp the essentials through hands-on practice.Next, you'll dive deeper by building a News Writer Agent, enhancing your understanding by integrating state and tools into your agents. The focus will be on practical applications, ensuring you can visualize and test your agents effectively. Finally, the course introduces advanced techniques, including reflection, human-in-the-loop processes, checkpointers, and threads. You'll also learn to incorporate custom tools, adding versatility and functionality to your agents. Whether you're a beginner or looking to advance your skills, this course provides a structured, step-by-step approach to mastering AI agent development with LangGraph.The goal of this course is to equip you with the understanding and skills you need to build your own agents. There are plenty of off-the-shelf agents available via LangGraph and other resources. However, in our experience, when building agents for production you will need to be able to customize. At the end of this course, it is our goal to make sure that you are capable of building your own custom workflows in LangGraph.Note: Prior python programming experience and some experience with LangChain are required for this course.
