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所在平台: Udemy |
课程主页: https://www.udemy.com/course/building-voice-apps-using-amazon-alexa/
课程评论：没有评论
课程名称：使用亚马逊的Alexa和Lex构建应用程序 概述：语音激活的个人助手，如Alexa、Siri、Cortana和Google Now，近年来成为科技领域的一大热点。这些助手为客户提供了以自由流动的对话方式传达复杂信息的绝佳途径。Alexa是一个构建会话界面的AWS服务，适用于Echo、FireTV以及其他一系列支持Alexa的设备。Alexa和Lex具有先进的技术，且支持不断新增的设备。基于深度学习引擎，系统能够解析用户的语音并将其转换为API调用和参数值，使用者无需具备深度学习或自然语言处理的专业知识，即可构建复杂的语音和聊天应用。该系统提供了直观的会话界面定义方式，能够自动动态调整对话响应，并且方便构建、测试和发布应用。 在有关Alexa的部分，我们将涵盖以下内容： - 全景视图：语音和文本界面以及人机交互的当前趋势 - Alexa、Lex、Echo及其他亚马逊生态系统的整合 - 交互模型：口语、意图、槽位、提示及其转化为API调用的过程 - 完成模型：如何使用AWS Lambda来实现用户意图，以及AWS Lambda如何提供平滑的、无操作的、自动扩展的代码端点 在有关Lex的部分，我们将讨论： - 交互模型：口语、意图、槽位、提示及其转化为API调用的过程 - 完成模型：使用AWS Lambda实现用户意图的过程及其自动扩展的特点 - 第三方集成：如何将聊天机器人添加到您的Slack工作区 此课程无具体大纲。
Alexa, Siri, Cortana and Google Now - voice-activated personal assistants are one of the hottest trends in technology these days. They are a great way to convey complex information to your customers in a free-flowing, conversational way. Alexa is a great way to build them - an AWS service for building conversational interfaces for Echo, FireTV and a host of Alexa-aware devices. Alexa and Lex are state-of-the-art, with support for new devices being added all the timePowered by a deep learning based engine that parses user voice and resolves the contents of user utterances to API calls and parameter valuesNo deep learning or natural language processing expertise is needed to build even complex voice and chat appsProvides an intuitive way of specifying the conversational interfaceAutomatically and dynamically adjusts conversational responsesEasy to build, test and publish app In the sections on Alexa we will cover: The big picture - voice and text interfaces and current trends in human-computer interactionHow Alexa, Lex, Echo and the other bits of the Amazon ecosystem come togetherInteraction models: Utterances, intents, slots, prompts and their resolution into API callsFulfilment models: Using AWS Lambdas to fulfil user intents, and how AWS lambdas provide smooth, no-ops, auto-scaling code endpoints In the sections on Lex we will cover: Interaction models: Utterances, intents, slots, prompts and their resolution into API callsFulfilment models: Using AWS Lambdas to fulfil user intents, and how AWS lambdas provide smooth, no-ops, auto-scaling code endpointsThird-party integration: How a chatbot can be added to your Slack workspace
