Building Apps Using Amazon’s Alexa and Lex

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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, Fire TV 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 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 In the sections on Lex we will cover: 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