Data-Driven Alexa Skills:Voice Access to Rich Data Sources for Enterprise Applications

Data-Driven Alexa Skills:Voice Access to Rich Data Sources for Enterprise Applications 1st ed. Edition
by Simon A. Kingaby (Author)
Publisher Finelybook 出版社:Apress; 1st ed. edition (November 17, 2021)
Language 语言:English
pages 页数:438 pages
ISBN-10 书号:1484274482
ISBN-13 书号:9781484274484

Book Description
Design and build innovative, custom, data-driven Alexa skills for home or business. Working through several projects, this book teaches you how to build Alexa skills and integrate them with online APIs. If you have basic Python skills, this book will show you how to build data-driven Alexa skills. You will learn to use data to give your Alexa skills dynamic intelligence, in-depth knowledge, and the ability to remember.

Data-Driven Alexa Skills takes a step-Author:-step approach to skill development. You will begin Author:configuring simple skills in the Alexa Skill Builder Console. Then you will develop advanced custom skills that use several Alexa Skill Development Kit features to integrate with lambda functions, Amazon Web Services (AWS), and Internet data feeds. These advanced skills enable you to link user accounts, query and store data using a NoSQL database, and access real estate listings and stock prices via web APIs.

What You Will Learn

Set up and configure your development environment properly the first time
Build Alexa skills quickly and efficiently using Agile tools and techniques
Create a variety of data-driven Alexa skills for home and business
Access data from web applications and Internet data sources via their APIs
Test with unit-testing frameworks throughout the development life cycle
Manage and query your data using the DynamoDb NoSQL database engines

隐藏内容1积分,请先!没有帐号? 注 册 一个!
觉得文章有用就打赏一下
未经允许不得转载:finelybook » Data-Driven Alexa Skills:Voice Access to Rich Data Sources for Enterprise Applications

评论 抢沙发

  • 昵称 (必填)
  • 邮箱 (必填)
  • 网址

觉得文章有用就打赏一下

非常感谢你的打赏,我们将继续给力更多优质内容,让我们一起创建更加美好的网络世界!

支付宝扫一扫打赏

微信扫一扫打赏