Intro to Rasa

This course gives you a hands-on foundation in building production-ready conversational AI assistants with Rasa. You'll start from first principles — understanding what makes a good conversational experience — and work through the core building blocks that every Rasa developer needs to know.

What you'll learn

• How intent recognition and entity extraction work under the hood, and how to design training data that generalises well
• The role of dialogue management in controlling conversation flow, including fallback handling and context switching
• How to structure a Rasa project for maintainability as it grows
• How to train, evaluate, and iterate on your models using Rasa's built-in tooling

Who this is for

This course is aimed at developers who are comfortable with Python and have a basic understanding of REST APIs. No prior NLP or ML experience is required — we cover the concepts you need as we go.

By the end, you'll have a working Rasa assistant and the mental model to extend it confidently.