Chatbot using Google Dialog Flow

Nowadays, most conversational tasks are done by chatbots. Companies use chatbot to deliver services such as; conversational bots, customer support, generating information, etc. There are many examples we can see in our day-to-day lives like Alexa, Siri which show the broad capability of chatbot can make. In this particular module, we are going to make a chatbot using ChatterBot library in python, which includes several machine learning algorithms to deliver responses. In addition, we are also going to learn chatbot using GCP Dialog flow with UI.

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Language: Hindi

Course Overview

Nowadays, most conversational tasks are done by chatbots. Companies use chatbot to deliver services such as; conversational bots, customer support, generating information, etc. There are many examples we can see in our day-to-day lives like Alexa, Siri which show the broad capability of chatbot can make. In this particular module, we are going to make a chatbot using ChatterBot library in python, which includes several machine learning algorithms to deliver responses. In addition, we are also going to learn chatbot using GCP Dialog flow with UI.

What you'll learn
  • Overview of Chatbot
  • Working of Chatbot
  • Chatbot using python language
  • Chatbot integration with simple UI
  • Developing chatbot using GCP DailogFlow
  • Deployment of chatbot in Facebook or Telegram
Requirements
  • Computer with Internet Connectivity
  • Dedication

Course Curriculum

  • Introduction
  • What is chatbot
  • How does chatbot work?
  • Types of Chatbot
  • Applications of Chatbot
  • Architecture of Chatbot
  • Comparison of Chatbot Platform
  • Different types of Chatbot
  • Introduction to Dialog flow
  • How It Works
  • Features of Dialog flow
  • Use Cases of Dialog flow
  • Advantages of Dialog flow
  • Why we Choose Dialog flow
  • Components of the Dialog flow
  • How to create your first Dialog flow Agent
  • How to Create New Intent
  • How to Create Parameter in Dialog flow
  • How to Create your Own Entities
  • How to USE Your New Entity
  • Contexts
  • How to Customize the Default Welcome Intent
  • How to Create a Custom Intent
  • How to Create Customize the Fallback Intent
  • Create an Intent with Parameters
  • Knowledge Base in Dialog flow
  • Training in Dialog flow
  • Intent Matching with Follow-up Intent
  • Testing
  • Integration
  • Training & Fallbacks
  • Deployments
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iNeuron.ai

We are on a mission to build a professional product-driven community around the globe where an individual can collaborate, learn, share and develop real-time use cases with trending technologies. We at iNeuron Academy believe in delivering a quality curriculum with highly qualified professional team worked as Senior Data Scientist, Deep Learning Engineer and AI researcher in leading MNC's around the globe. Our main focus is to provide the different way of expertise for freshers as well as professionals through our community which makes them work, learn, develop and to grow in the competitive industry.

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