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)

Creating our weather skill

Creating the weather skill is going to follow the same steps as the previous skills that we have created. This is a great process to follow whenever you are creating any new Alexa skill. To recap the process, it is as follows:

  • Create a conversational flow from perfect conversations
  • Create the skill on Alexa Skills Kit, including all intents, slots, and utterances
  • Create the Lambda to handle the requests
  • Test the skill
  • Improve the skill

Conversation flow design

Most of the conversations that the users will have with this skill are quite simple. There are only really two things that the user can ask about: the location and the data for the forecast. Here is an example of a perfect conversation: