Building Your First Chatbot Using Rasa Framework 2.0

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Building Your First Chatbot Using Rasa Framework 2.0 provided by Coursera is a comprehensive online course, which lasts for 2 hours worth of material. Building Your First Chatbot Using Rasa Framework 2.0 is taught by Mohammed Murtuza Qureshi. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Englishand is Paid Course. Visit the course page at Coursera for detailed price information.

Overview
  • 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.