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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learnlivekit/
课程评论：没有评论
课程名称：Livekit语音AI代理大师班：学习、编码与部署 课程概述：本课程是一个实践型的大师班，教授学员如何使用LiveKit、OpenAI实时API和No SQL数据库构建、定制和部署生产级的低延迟语音AI代理。课程不要求使用Docker桌面！无论你是开发者、企业家、AI爱好者还是有抱负的创始人，本课程都将为你提供创建实时交互的语音界面的所有必要知识。 学习内容包括：首先设置LiveKit云账户，集成OpenAI实时API，并将助手连接到实时音频房间。接着，连接一个NoSQL数据库，以赋予代理记忆功能，然后构建结构化的函数调用系统，使其能够完成如查询天气、记录笔记或创建日记条目等任务 - 所有这些都可以通过语音进行。随后的课程中，你将使用React和Node.js探索前端和后端源代码，学习如何使用Docker对整个应用进行容器化，并通过一次点击将代码基础部署到云端。 课程结束时，你将能够： - 构建并测试一个由OpenAI实时API和LiveKit驱动的全栈语音代理 - 连接NoSQL数据库以存储记忆和用户数据 - 使用容器部署代理的后端和前端 - 理解如何自定义用户界面、功能逻辑和音频流 - 如果希望对语音交互进行更多定制，还可以使用不同的语言模型（LLM）进行STT和TTS解决方案。 课程不要求具备WebRTC或语音AI的先前经验，我们将逐步引导你，从模板到生产，帮助你掌握所有必要技能。
This hands-on masterclass teaches you how to build, customize, and deploy production-ready low latency voice AI agents using LiveKit, OpenAI Realtime API, No SQL Database. Docker desktop is not required!. Whether you're a developer, Entrepreneur, AI tinkerer, or aspiring founder, this course gives you everything you need to create voice interfaces that talk, think, and take action in real time.You'll start by setting up a LiveKit Cloud account, integrating OpenAI Realtime API, and wiring up your assistant to real-time audio rooms. From there, you'll connect a noSQL database to give your agent memory, then build a structured function-calling system so it can perform tasks like checking the weather, logging notes, or creating journal entries - all with your voice.Next, you'll explore the frontend and backend source code using React and Node.js, learn how to containerize your entire app using Docker, and deploy your codebase to the cloud with just one click..By the end of this course, you'll have:Built and tested a full-stack voice agent powered by OpenAI Realtime API and LiveKitConnected a noSQL database to store memory and user dataDeployed your agent's backend and frontend using containersUnderstood how to customize UI, function logic, and audio flowSTT & TTS solutions are available if you would like to use different LLM models or have more customization over the voice interaction with you AI Agent.No prior WebRTC or voice AI experience is required - we walk you through every step, from templates to production.
