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Build Multi-turn Skills with Alexa Conversations

Introduction 

Welcome to Building Multi-turn Skills with Alexa Conversations. Throughout this course you’ll learn the fundamentals of voice design, the challenges associated with building a custom dialog manager, and how to use use Alexa Conversations to solve these problems.

To teach you the fundamentals of Alexa Conversations, we have prepared a multi-turn skill called Pet Match. The skill asks a series of questions and provides a recommendation based upon the answers. You will start with a set of dialogs and build the skill using Alexa Conversations. Along the way you’ll learn the concepts in context so you’ll be equipped to build your own skill upon completing this course.

Note

We originally created Pet Match to showcase a best of class multi-turn skill at re:Invent 2017. We were able to quickly recreate the skill AND add new features with roughly the SAME level of effort with Alexa Conversations. The same level of effort equals a more rich experience.

Is this for you?

Yes! The material in this course is appropriate for complete beginners with no knowledge of code and experienced developers alike. This course is modular so you can either start from the beginning or jump to any section, download the code and learn.

Time you'll need 

This course is a milestone along your Alexa skills educational journey. You should be able to complete everything in about two hours. You may spend more or less time depending on how deeply you dive into the materials.

You do not need to do everything all in one sitting. In fact, We suggest that you take your time. Read through a section, complete the exercises and then take a break to reflect on what you’ve learned and then carry on when you feel comfortable to do so.

Before You Begin...

Alexa Conversations is still in beta and updates may have been released that are not reflected in this tutorial yet. If you have questions or feedback about Alexa for Conversations, Click on the feedback button on the lower right-hand corner.

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