Building Your First Chatbot Using Rasa Framework 2.0
In this 2-hour long project-based course, you will learn how to create a chatbot assistant using the Open Source Chatbot Framework Rasa. Rasa is a free-to-use chatbot building framework developed in Python.
In the project, we will be building a shopping chatbot which will help users with suggestions of laptops and phones based on their preference and budget.
We will look at how to what’s Rasa NLU, a natural language understanding tool by Rasa. Then we will be looking at what’s Rasa Core which is a dialogue management system developed by Rasa. We will be building a shopping bot which will suggest products based on the user’s input. We will look at how to define intents, entities, writing training data for Rasa Core using Rules & Stories (example conversations). We will look at NLU training pipeline then learn how to define custom actions which can run Python code for a response.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
In the project, we will be building a shopping chatbot which will help users with suggestions of laptops and phones based on their preference and budget.
We will look at how to what’s Rasa NLU, a natural language understanding tool by Rasa. Then we will be looking at what’s Rasa Core which is a dialogue management system developed by Rasa. We will be building a shopping bot which will suggest products based on the user’s input. We will look at how to define intents, entities, writing training data for Rasa Core using Rules & Stories (example conversations). We will look at NLU training pipeline then learn how to define custom actions which can run Python code for a response.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
