Hello and welcome to this Cloud Academy course on Amazon Lex. Before we start, I'd like to introduce myself. My name is Jeremy Cook. I'm one of the trainers here at Cloud Academy specializing in AWS. Feel free to connect with either myself or the wider team here at Cloud Academy regarding anything about this course. You can email us at support@cloudacademy.com. Alternatively, our online community forum is available for your feedback.

In this training course, you'll be introduced to Amazon Lex. With Amazon Lex, you can build conversational interfaces, embedding these into your new and existing applications. Your customers can then begin to engage with your applications using voice and text commands. Amazon Lex provides a simple yet powerful conversational framework and engine. Developers can leverage Amazon Lex to embed the power of chatbots directly within their applications. Amazon Lex, for example, can be used to provide chatbots that schedule meetings or that can inform you of local weather patterns and/or provide customer help desk and support channels - and that's just for starters!

The agenda for the remainder of this course is as follows. We provide a quick review of chatbots and why they've become popular in recent times. We review the complete Amazon Lex service and the machine learning technology used within. We'll provide an understanding of key components and terminology as used within Amazon Lex. We'll review suitable use cases and scenarios in which Amazon Lex can be applied effectively. We focus on the developer workflow used to build Amazon Lex chatbots. We examine how Amazon Lex integrates seamlessly with other AWS services. We take a look at and review the capabilities of the Amazon Lex API and associated SDKs. Finally, we'll walk you through building a fully functional chatbot implemented using the Amazon Lex service. The following prerequisites will be both useful and helpful for this course. Chatbots, a general understanding of chatbots.