Skip to main content

The Complete Chatbot Course Using Rasa - Python - NLP

Udemy Coupon - The Complete Chatbot Course Using Rasa - Python - NLP, Learn to Deploy advanced chatbots on Facebook and Telegram using the Deep Learning powered Rasa Framework!

  • New
  • Created by Mohammed Murtuza
  • English

Preview this Course GET COUPON CODE

Description
The most in-demand skill for any Data Scientist right now is creating a chatbot to handle conversations with user. With nearly 80% companies expected to implement chatbots in the near future. Do you want to be the one implementing it? The course is designed to teach you how to create a chatbot which can help users with suggestions of laptops and phones from amazon right from the creation of first file to the deployment on platforms like Facebook and Telegram.
Learn the most flexible and fastest growing Chatbot Framework out there! Rasa is an open source framework which doesn't charge you anything! What makes Rasa standout when compared to all the bots out there is its flexibity, it provides very solid inbuilt frameworks with options to customize the entire chatbot module. Keep all your User data on your cloud premise without sharing with any third parties (which is really important given the current data policies and growing privacy concerns!).
With very little coding needed any beginner in programming can get along with the course and learn how to build advanced chatbots!
The course has given major emphasis on practicality and application of all the concepts taught. With a blend of slides and code walkthrough you are taken through a complete journey of deploying your first chatbot.
The course comes with all the source code used in developing the bot. With the intention of prompt updates to the course as and when needed you can be sure you never miss out on new features added to the Rasa Framework! You surely do not want to miss this!

100% Off Udemy Coupon . Free Udemy Courses . Online Classes
Comment Policy: Please write your comments that match the topic of this page post. Comments containing links will not be displayed until they are approved.
Open Comments
Close Comment
-->