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  • Build creative and complex chatbots.
  • Rasa framework
  • Build stories applicable to any chatbot
  • Custom actions in Chatbots
  • Concepts on NLP
  • How to prepare data for training chatbot model

This course is all about replacing monotonous human conversations with Chatbots. "Build Chatbot using RASA 2x" is a project-based course wherein we build a chatbot for the university. This project consists of functionalities wherein the students or rather the users of the Chatbot can fetch marks and the attendance from the university database in real-time. It also has a validation of username & password in place for privacy aspect. Apart from fetching marks and attendance, it can answer FAQs.

The course consists of 6 chapters where each chapter has a dedicated purpose.

Chapter 1 - Introduction

Chapter 2 - Installation

Chapter 3 - Core of Rasa Framework

Chapter 4 - Significance of files

Chapter 5 - Building Chatbot

Chapter 6 - Deployment

You will learn concepts that are applicable to all the chatbots ranging from the Core of a framework to Deployment. In addition to that, you will also learn how to build logical chatbot stories. This course will equip you with the power of rasa and detailed concepts of chatbots which can be used to build any complex chatbot for any given industry.

You will be provided with all relevant files required for this project along with the Web Page used for deployment.

As a prerequisite for this course a basic understanding of the Python programming language is required as the framework (Rasa) used in this course will use Python.

  • Basics of Python programming
  • Students and working professionals
  • Python Developers who want to explore Chatbots
  • Developers who want to explore NLP concepts
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  • Section 1 : Introduction to Chatbots & Rasa4 4 Lectures 00:09:31

    • Lecture 1 :
    • Lecture 2 :
    • Overview of project
    • Lecture 3 :
    • What is a framework
    • Lecture 4 :
    • Rasa Framework
  • Section 2 : Installation 3 Lectures 00:07:05

    • Lecture 1 :
    • Installation Part 1
    • Lecture 2 :
    • Installation Part 2
    • Lecture 3 :
    • Installation Part 3
  • Section 3 : Core Elements of Chatbots 3 Lectures 00:02:21

    • Lecture 1 :
    • Intents & Entities
    • Lecture 2 :
    • Response & Actions
    • Lecture 3 :
    • Stories
  • Section 4 : Significance of files 4 Lectures 00:07:30

    • Lecture 1 :
    • NLU.yml
    • Lecture 2 :
    • Domain.yml
    • Lecture 3 :
    • Stories.yml
    • Lecture 4 :
    • Other files
  • Section 5 : Building Chatbot and it's logic 11 Lectures 00:17:50

    • Lecture 1 :
    • Understanding our data
    • Lecture 2 :
    • Logic for our Chatbot
    • Lecture 3 :
    • Building story Part 1
    • Lecture 4 :
    • Building story Part 2
    • Lecture 5 :
    • Building NLU data
    • Lecture 6 :
    • Building Domain data
    • Lecture 7 :
    • Building Custom Action Part 1
    • Lecture 8 :
    • Building Custom Action Part 2
    • Lecture 9 :
    • Building Custom Action Part 3
    • Lecture 10 :
    • Building Custom Action Part 4
    • Lecture 11 :
    • Building Custom Action Part 5
  • Section 6 : Deployment 1 Lectures

    • Lecture 1 :
    • Deploying on Web Application
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I'm passionate about building end-to-end project pipelines from inception to completion which includes designing and implementing automation paradigms. I train and mentor students across the globe on Machine learning, Deep learning, Artificial Intelligence, Computer Vision, Natural language processing, and Automations. I'm passionate about sharing my knowledge with students & the working professionals' community.
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