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所在平台: Udemy |
课程主页: https://www.udemy.com/course/create-a-chatbot-with-nextjs-chatgpt-in-under-an-hour/
课程评论：没有评论
**课程名称：** 一小时内使用 Next.js 和 ChatGPT 创建聊天机器人 **课程概述：** 本课程将指导您从零开始，利用 Next.js、TypeScript 和 OpenAI API 构建一个功能强大的 AI 聊天机器人。我们将以 Visual Studio Code 为开发环境，一步步完成从基础设置到实现具备上下文保持和有意义对话能力的聊天机器人。 **主要学习内容：** * **Next.js 开发环境搭建：** 熟悉 Next.js 项目的初始化和配置。 * **OpenAI API 集成：** 学习如何调用 OpenAI API 来驱动聊天机器人的智能。 * **响应式聊天界面构建：** 设计和实现用户友好的聊天界面。 * **上下文管理实现：** 确保聊天机器人能够记住之前的对话内容，保持连贯性。 * **TypeScript 与 React：** 掌握使用 TypeScript 进行 React 开发的基础知识。 * **安全 API 连接：** 学习如何安全地连接到 API。 **课程特色：** * **实践驱动：** 课程强调动手实践，您将编写代码、进行测试并立即看到成果。 * **通用性：** 尽管使用 Next.js，但课程中涵盖的概念和技术也能帮助您理解其他框架下的聊天机器人开发。 * **零 AI 门槛：** 无需任何 AI 经验，只要具备基础的 JavaScript/TypeScript 知识即可。 * **免费工具：** 使用免费的工具和库，方便您在课程结束后继续学习和实验。 **目标：** 完成本课程后，您将能够构建一个令人印象深刻的、具备 AI 能力的网页端聊天机器人应用。
Let's build an AI-powered chat bot using Next.js, Typescript and the OpenAI API. We'll use Visual Studio Code as our development environment and walk through creating a chat bot from the ground up.Throughout this course, we're going to build a fully functional chat bot that can maintain context and engage in meaningful conversations. We'll start with the basics of Next.js and gradually add ChatGPT integration to create an impressive web based chat bot application.Here's what we'll cover:- Setting up a Next.js development environment- Working with the OpenAI API- Building a responsive chat interface- Implementing context management- React fundamentals using Typescript- Creating secure API connectionsWe're keeping things practical - you'll write code, test it, and see results immediately. While we're using Next.js, the concepts we'll cover will help you understand chat bot development across different frameworks.The best part? You don't need any AI experience to get started. As long as you have basic JavaScript/Typescript knowledge, you'll be able to follow along and build something impressive.Let's get started with creating your first AI chat bot!Note: This course uses freely available tools and libraries, so you can continue building and experimenting after we're done.
