Book Image

Hands-On Chatbot Development with Alexa Skills and Amazon Lex

By : Sam Williams
Book Image

Hands-On Chatbot Development with Alexa Skills and Amazon Lex

By: Sam Williams

Overview of this book

Have you ever wondered how Alexa apps are made, how voice-enabled technologies work, or how chatbots function? And why tech giants such as Amazon and Google are investing in voice technologies? A better question is: why should I start developing on these platforms? Hands-On Chatbot Development with Alexa Skills and Amazon Lex covers all features of the Alexa Skills kit with real-world examples that help you develop skills to integrate Echo and chatbots into Facebook, Slack, and Twilio with the Amazon Lex platform. The book starts with teaching you how to set up your local environment and AWS CLI so that you can automate the process of uploading AWS Lambda from your local machine. You will then learn to develop Alexa Skills and Lex chatbots using Lambda functions to control functionality. Once you’ve come to grips with this, you will learn to create increasingly complex chatbots, integrate Amazon S3, and change the way Alexa talks to the user. In the concluding chapters, we shift our focus to Amazon Lex and messaging chatbots. We will explore Alexa, learn about DynamoDB databases, and add cards to user conversations. By the end of this book, you will have explored a full set of technologies that will enable you to create your own voice and messaging chatbots using Amazon.
Table of Contents (13 chapters)


In this chapter, we've looked into three ways to improve the user experience of both Alexa Skills and Lex chatbots.

We started by creating cards in Lex chats to increase the visual information provided to a user. These cards are a great way to make your Lex chatbots stand out from just text-based chatbots.

We then moved over to Alexa, where we learned about Search Query slots. This slot type allows users to enter a wider range of values to fill a slot than we could allow using custom slot types.

The final tool we learned to use to improve the user experience was utterance monitoring. Seeing what your users are really saying to your chatbot helps you increase the example utterances for each intent. This results in a chatbot that can successfully handle a wider range of user utterances.

All of these things will provide more information or reduce the chance that the...