Complete Chatbot Course Using Rasa – Python – NLP – AI

Learn to Deploy advanced chatbots on Facebook and Telegram using the Deep Learning powered Rasa Framework!

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.

What you’ll learn

  • Build a Chatbot from Scratch using Python.
  • Learn about the Rasa Framework.
  • Deploy your chatbot on the Cloud.
  • Connect your chatbot to Facebook, Telegram.
  • Learn how to use Custom Models.
  • Learn Rasa NLU to understand user inputs.
  • Learn Rasa Core for Dialogue Management of the Users.
  • Learn how to handle Small talk.
  • Learn how to use in-built Deep learning models or Bring your own Model in Rasa NLU.
  • Map your domain to your Rasa Server.

Course Content

  • Introduction –> 4 lectures • 23min.
  • Rasa Natural Language Understanding (NLU) –> 7 lectures • 45min.
  • Rasa NLU – Custom Components –> 7 lectures • 1hr 4min.
  • Introduction to Rasa Core –> 5 lectures • 38min.
  • Dialogue Policies –> 5 lectures • 23min.
  • Slots – Bots Memory –> 5 lectures • 17min.
  • Forms –> 9 lectures • 1hr 18min.
  • Fallback Policy –> 2 lectures • 16min.
  • Section 5 – Improving the Bot – Add Buttons – Multi Search – Reset Slots – Debug –> 3 lectures • 10min.
  • Handling Small Talk –> 4 lectures • 21min.
  • Registering Domain – Creating Server – MySQL – Adding products to DB –> 6 lectures • 42min.
  • Section 13: Channel Specific Responses –> 1 lecture • 5min.
  • Deploying Rasa on Server Using Docker –> 3 lectures • 14min.
  • Adding SSL Certificate for FREE –> 5 lectures • 13min.
  • Integrating with Facebook Messenger –> 6 lectures • 38min.
  • Integration with Telegram –> 2 lectures • 8min.
  • External Events & Notifications –> 1 lecture • 2min.

Complete Chatbot Course Using Rasa - Python - NLP - AI

Requirements

  • Basic knowledge of Python.
  • Basic Programming or IT Knowledge.

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!