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所在平台: Udemy |
课程主页: https://www.udemy.com/course/langgraph-in-action-develop-advanced-ai-agents-with-llms/
课程评论：没有评论
**课程名称：** LangGraph 实战：使用 LLM 开发高级 AI 代理 **课程概述：** 本课程是您掌握使用 LangGraph 设计和部署高级 AI 代理的终极指南。您将通过实践学习，探索构建模块化、可扩展且可投入生产的代理的基础知识。从理解 LangGraph 基于状态的设计理念，到创建全栈应用程序，您将获得让 AI 代理焕发活力的必备技能。 **课程亮点：** * **基于状态的设计：** 深入了解 LangGraph 的核心理念，通过节点和边来构建结构化、易于维护的代理。 * **内存管理：** 探索短期记忆（通过 Checkpointers）和长期记忆（通过 Store 对象），以创建能够适应和学习的代理。 * **高级工作流：** 构建人机协作系统，实现并行执行，并掌握多代理模式。 * **生产就绪开发：** 学习异步操作、子图，并使用 FastAPI 和 Docker 创建全栈应用程序。 **课程目标：** 通过本课程，您将不仅获得扎实的理论基础，还将掌握在任何地方部署 AI 代理的实践技能，全程使用开源工具。无论您是希望保持技术领先的开发者，还是希望扩展 AI 工具箱的资深工程师，本课程都将为您在快速发展的 AI 代理领域做好准备。 随着 AI 代理在现实应用中的采用日益增加，本课程将确保您能够设计、构建和部署能够解决实际挑战的高级系统。让我们一起开始构建，塑造 AI 的未来！
What to Expect from This CourseWelcome to LangGraph in Action, your ultimate guide to mastering the design and deployment of advanced AI agents using LangGraph. In this course, you'll explore the fundamentals of building modular, scalable, and production-ready agents, all with a hands-on approach. From understanding the basics of LangGraph's state-based design to creating a full-stack application, you'll gain the skills needed to bring AI agents to life.Course HighlightsState-Based Design: Dive into LangGraph's core philosophy of nodes and edges to create structured, maintainable agents.Memory Management: Explore short-term memory with checkpointers and long-term memory with the Store object to enable agents that adapt and learn.Advanced Workflows: Build human-in-the-loop systems, implement parallel execution, and master multi-agent patterns.Production-Ready Development: Learn asynchronous operations, subgraphs, and create full-stack applications using FastAPI and Docker.By the end of the course, you'll not only have a strong theoretical understanding but also the practical skills to deploy AI agents anywhere, entirely with open-source tools. Whether you're a developer aiming to stay ahead of the curve or a seasoned engineer looking to expand your AI toolkit, this course equips you for the rapidly growing field of AI agents.With the increasing adoption of AI agents in real-world applications, this course ensures you're prepared to design, build, and deploy advanced systems that solve practical challenges. Let's start building and shaping the future of AI together!
