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所在平台: Udemy |
课程主页: https://www.udemy.com/course/building-smarter-real-world-generative-ai-systems/
课程评论：没有评论
**课程名称：** 构建智能的实际生成式AI系统 (Building Smarter Real-World Generative AI Systems) **课程概述：** 本课程由 Learner's Spot 提供，旨在帮助学员掌握创建自己的生成式AI应用所需的知识和技能。无论您是初学者还是希望深化理解，本课程都将循序渐进地引导您学习必备概念和实践应用。 **您将学到：** * **生成式AI与大型语言模型 (LLMs) 入门：** 全面了解生成式AI和大型语言模型的基本原理，以及它们如何赋能智能应用。 * **探索Langchain框架：** 深入了解Langchain框架的组成部分，学习数据如何在其中流动，并设置Python和Langchain的开发环境。 * **使用Langchain工具：** 学习如何利用Langchain的内置工具，以及如何创建自定义工具来满足特定需求。 * **理解Agent：** 介绍Agent的概念，重点关注REACT Agent，并讨论其优缺点。 * **深入学习LangGraph：** 掌握LangGraph的核心功能，包括多Agent方法和智能规划，并通过实际案例进行讲解。 * **掌握关键术语：** 熟悉LangGraph的关键术语，如状态(states)、节点(nodes)和边(edges)，并理解它们在构建结构化AI系统中的作用。 * **构建第一个AI驱动的聊天机器人：** 通过实际项目，使用LangGraph构建您的第一个聊天机器人，获得框架的实践经验。 * **探索检索增强生成 (RAG) 应用：** 了解RAG应用如何通过集成外部信息检索来增强语言模型的响应。 * **实践RAG应用：** 通过指导课程，动手创建RAG应用，巩固对这一强大方法的理解。
Welcome to Building a Generative AI Application with LangGraph by Learner's Spot! This course is designed to equip you with the knowledge and skills needed to create your very own Generative AI application. Whether you're a beginner or looking to deepen your understanding, we've structured this course to guide you step-by-step through essential concepts and practical applications.What You'll Learn:Introduction to Generative AI & LLMs: Kick off your journey with a comprehensive overview of Generative AI and Large Language Models. Understand the fundamental principles behind these technologies and how they empower intelligent applications.Exploring the Langchain Framework: Dive into the components of the Langchain Framework and discover how data flows within it. We'll prepare you for hands-on work by setting up your development environment with Python and Langchain.Utilizing Langchain's Tools: Learn how to leverage Langchain's built-in tools and how to create custom ones tailored to your unique needs.Understanding Agents: We'll introduce you to the concept of Agents, with a special focus on the REACT agent, discussing its advantages and limitations.Deep Dive into LangGraph: The heart of this course is LangGraph. Explore its key features, advanced functionalities like the multi-agent approach, and smart planning through real-world examples.Mastering Key Terminologies: Get familiar with essential LangGraph terminologies, such as states, nodes, and edges, and understand their significance in building structured AI systems.Building Your First AI-Driven Chatbot: Apply what you've learned by constructing your first chatbot using LangGraph. This hands-on project will provide practical experience with the framework.Exploring Retrieval-Augmented Generation Applications: Discover how Retrieval-Augmented Generation (RAG) applications enhance language models by integrating external information retrieval before response generation.Hands-On RAG Application Session: Participate in a guided session to create a RAG application, solidifying your understanding of this powerful approach.
