Description

Amazon Alexa – Beyond the Basics

Amazon Alexa – Beyond the Basics
Duration: 2h 9m | Video: h264, 1280×720 | Audio: AAC, 44100 Hz, 2 Ch | 1.2 GB Genre: eLearning | Language: English | Project Files

by Terren Peterson
Publisher: Infinite Skills
Release Date: August 2017
ISBN: 9781491993743
Topics: AWS
Creating advanced Amazon Alexa skills requires a more sophisticated set of tools than the elementary ones described on Amazon’s web site. In this course,

Terren Peterson reveals the tools and processes employed by Alexa Champions.

HOW THIS COURSE WILL HELP YOU

You’ll gain experience designing advanced voice user interfaces, learn about the Speech Synthesis Markup Language, and explore ways to integrate third party APIs.

You’ll also pick up techniques for adding music and sound, discover how to use analytics to improve the performance of your skills over time, and learn how to add visuals to Amazon’s Echo Show.

Understand the fundamentals of the Speech Synthesis Markup Language (SSML)

Discover different analytic techniques that track how audiences use Alexa skills

Pick up multiple methods for managing content (i.e., S3, external APIs, etc.)

HOW THIS COURSE WILL HELP YOU

Explore ways to add sounds and music to skills using tools such as Audacity

Learn how to render visuals onto the Amazon Echo Show touch screen display

Review the source code of advanced skills already published on Alexa

In this course, Terren Peterson helps you learn how to design and implement a variety of advanced Alexa skills.

HOW THIS COURSE WILL HELP YOU

You’ll take a deep dive into Amazon’s Speech Synthesis Markup Language (SSML)

, discover how to add music and sound effects to your voice user interfaces, pick up strategies for integrating with external APIs and managing content on S3, and more.

This course is an excellent way to get started as an Alexa Champion while building valuable skills that you can use with other platforms

Are you ready to take your Alexa skills to the next level? In this course

, Terren Peterson shares insights on how some of the most successful developers craft their voice user interfaces.

You’ll also explore Speech Synthesis Markup Language (SSML) techniques,

learn about different analytics tools, incorporate third-party APIs into your skill functionality, and use S3 with Lambda to store media assets.

This course is for anyone with basic technical skills who wants to create amazing Alexa experiences for their audiences.

Gain the skills needed to design next generation Alexa skills by utilizing

HOW THIS COURSE WILL HELP YOU

Amazon’s Speech Synthesis Markup Language (SSML) and tools from Alexa Champions. You’ll learn about the basics of SSML, how to use analytics to improve your skill’s performance over time,

and how write content that’s compatible with both Amazon Echo and Amazon Echo Show.

This course is designed for anyone who wants to create Amazon

Alexa skills, including developers and non-developers alike. Whether you’re interested in developing Alexa skills for business purposes or

just want more control over how you interact with Alexa, this course will teach you the tools that

Amazon’s Alexa Champions are using to get the best results.

Want to create a skill that not only works well, but feels like it’s been crafted by an experienced software developer?

You’re in the right place. This course will give you everything you need to create sophisticated

Alexa skills using Amazon’s tools, including lectures on how to create Speech Synthesis Markup Language content and the best practices for tracking audience activity with analytics.

Amazon Alexa is a cloud-based service that allows users to control smart home devices and get information,

news and other things through voice interaction. Alexa can be used with smart devices such as Amazon Echo, Echo Dot and Tap.

Using this course, you will learn how to create advanced Amazon Alexa skills using an editors tool called

SAM TTS simulator which is designed to help developers create their own speech synthesis markup language (SSML) files before deploying them on the Amazon platform.