Our online Rasa Chatbot course is an excellent opportunity to learn how to build sophisticated chatbots and voice assistants using the Rasa framework.

With our expert instructors, you will learn about natural language processing, machine learning, and dialogue management. You will learn how to build chatbots that can understand user intent and provide contextually relevant responses.

This online course is self-paced, meaning you can learn at your own pace from anywhere in the world. You will have access to a wealth of resources, including video lectures, practical assignments, and a community of learners with whom you can collaborate and share insights.

By the end of the course, you will have built a functional chatbot that can be deployed to a real-world application. You will also have the skills and knowledge necessary to continue developing your conversational AI skills, whether for personal or professional use.

Whether you’re a developer looking to expand your skills or an entrepreneur looking to add conversational AI to your business, our online Rasa Chatbot course is the perfect place to start. Sign up today and start building your own chatbot!




New batch starting:
Date: 16th May 2023
Duration per session: 90 mins
Course Duration: 30 days
Training Platform: Google Meet or Zoom



1. Introduction
– Introduction to chatbots
– What is NLP

2. Setting up the environment and Installation
– Creating an environment
– Installing all the packages and dependencies for rasa chatbot

3. Migrating from Rasa 1.x to 3.x

4. Building your first Rasa chatbot with UI
– Build a simple chatbot with full functionality with UI

5. Understanding NLU and CORE

6. Choosing a pipeline

7. Components

8. Entity Extraction

9. Stories
– Creating stories for the bot
– Adding checkpoints

10. Domain
– Understanding the flow of domain
– Adding Entities, intents, slots, etc
– Adding images, buttons, etc to the response

11. Responses
– Adding the static Bot’s response
– Adding the dynamic bot’s response

12. Actions
– Adding dynamic link to the bots reply
– Adding the dynamic buttons through an API
– Updating the Excel sheets with custom actions

13. Slots
– How to fill the slots

14. Forms
– Creating the form with slot preferences
– Filling the slots with input from user without an intent
– Correct way to write story with the forms

15. Interactive Learning
– Creating the stories in interactive mode

16. Api integration with Rasa chatbot
– Updating and reading data from Firebase database in real-time

17. Storing collected data to database
– Read data from database
– Write Data to the database
– Update Data to the database

18. Duckling in Rasa
– Entitiy extraction for,
– Date
– Number
– Amount

19. Integrating rasa chatbot to facebook messenger
– Setting up the rasa bot on to the facebook messenger for automation.

20. Reminder and External Events
– Setting up a remainder with rasa chatbot

21. Fallback actions
– FallbackPolicy
– TwoStageFallbackPolicy

22. Deployment of rasa chatbot to the live server
– Deployment to the Heroku server
– Deployment to GCP (Google cloud platform)
– Deployment of Rasa chatbot to any website through

23. How to connect rasa chatbot to whatsapp

24. How to automate rasa chatbot to send text messages.

1. Home Automation with rasa chatbot
2. Deploy rasa chatbot to your custom website
3. Voice bot to assist for on weather related information



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