Professional Course

Building Voice Apps Using Amazon Alexa

QuickStart, Online
Length
2 hours
Price
44.99 USD
Next course start
Start anytime! See details
Delivery
Self-paced Online
Length
2 hours
Price
44.99 USD
Next course start
Start anytime! See details
Delivery
Self-paced Online
This provider usually responds within 48 hours 👍

Course description

Building Voice Apps Using Amazon Alexa

About This Course:

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 time
  • Powered by a deep learning based engine that parses user voice and resolves the contents of user utterances to API calls and parameter values
  • No deep learning or natural language processing expertise is needed to build even complex voice and chat apps
  • Provides an intuitive way of specifying the conversational interface
  • Automatically and dynamically adjusts conversational responses
  • Easy to build, test and publish app

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Upcoming start dates

1 start date available

Start anytime!

  • Self-paced Online
  • Online

Who should attend?

Audience:

  • Echo or FireTV developers looking to build Alexa Skills
  • Website and mobile app developers looking to add voice apps

Prerequisite:

  • Basic javascript programming
  • Basic understanding of HTTP/s and how REST APIs work

Training content

Course Objective:

In the sections on Alexa we will cover:

  • The big picture - voice and text interfaces and current trends in human-computer interaction
  • How Alexa, Lex, Echo and the other bits of the Amazon ecosystem come together
  • Interaction models: Utterances, intents, slots, prompts and their resolution into API calls
  • Fulfilment models: Using AWS Lambdas to fulfil user intents, and how AWS lambdas provide smooth, no-ops, auto-scaling code endpoints
  • Interaction models: Utterances, intents, slots, prompts and their resolution into API calls
  • Fulfilment models: Using AWS Lambdas to fulfil user intents, and how AWS lambdas provide smooth, no-ops, auto-scaling code endpoints
  • Third-party integration: How a chatbot can be added to your Slack workspace

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