The Rasa Masterclass Handbook
In September 2019, we launched the Rasa Masterclass, a twelve-video tutorial series on building AI assistants with Rasa. The Masterclass provides a complete roadmap for building AI assistants—all the way from installing Rasa for the first time to deploying a finished project on Kubernetes. Along the way, we cover important machine learning concepts and practical coding examples to give you a solid foundation in conversational AI.
The series is hosted by Juste Petraityte, Head of Developer Relations at Rasa. Over the course of the Masterclass, we build an advanced assistant called the Medicare Locator, which uses the medicare.gov API to locate nearby medical facilities.
In addition to learning how to build the Medicare Locator, the Masterclass also covers:
- NLU and dialogue management components and how to configure your NLU pipeline to get the best performance with your dataset
- Adding business logic using forms and integrating with backend systems
- Connecting with messaging channels and deploying the assistant
First published on the blog and now available as an ebook, the Masterclass Handbook is the companion guide to the Masterclass video series.You can follow along with the Handbook as you watch the videos, or return to it later as a quick reference guide. At the end of each chapter, you’ll find links to additional resources to help you along your journey.
Whether you’re brand new to Rasa or you’ve built simple AI assistants before, the Rasa Masterclass is a great resource to level up and deepen your expertise as a Rasa developer. We’re excited to have you along—we’ll learn a lot and apply our new skills to building AI assistants that really help users.
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