How to Build Chatbot with Google DialogFlow AWS in 2024

How to Build Chatbot with Google DialogFlow & AWS in 2024, available at $54.99, has an average rating of 3.75, with 81 lectures, based on 75 reviews, and has 624 subscribers.

You will learn about The students will learn how to build professional chatbots The students will learn that how to integrate chatbot with Facebook Messenger The students will learn that how to integrate chatbot with WhatsApp and Twilio The students will learn that how to integrate chatbot with Twitter The students will learn that how to integrate chatbot with Slack The students will learn that how to integrate chatbot with ReactJS, VueJs and Wix websites The students will learn that how to create Backend REST API with Python for Chatbots The students will learn that how to integrate Chatbot with Firebase Real Time Database The students will learn how to create Crypto Currency Price Tracker Chatbot The student will learn that how to create Human Handoff functionality This course is ideal for individuals who are This course is for those who want to build Chatbots for their websites and business It is particularly useful for This course is for those who want to build Chatbots for their websites and business.

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Summary

Title: How to Build Chatbot with Google DialogFlow & AWS in 2024

Price: $54.99

Average Rating: 3.75

Number of Lectures: 81

Number of Published Lectures: 81

Number of Curriculum Items: 81

Number of Published Curriculum Objects: 81

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

The students will learn how to build professional chatbots

The students will learn that how to integrate chatbot with Facebook Messenger

The students will learn that how to integrate chatbot with WhatsApp and Twilio

The students will learn that how to integrate chatbot with Twitter

The students will learn that how to integrate chatbot with Slack

The students will learn that how to integrate chatbot with ReactJS, VueJs and Wix websites

The students will learn that how to create Backend REST API with Python for Chatbots

The students will learn that how to integrate Chatbot with Firebase Real Time Database

The students will learn how to create Crypto Currency Price Tracker Chatbot

The student will learn that how to create Human Handoff functionality

Who Should Attend

This course is for those who want to build Chatbots for their websites and business

Target Audiences

This course is for those who want to build Chatbots for their websites and business

Hello Students

Welcome to  How to Build Chatbot with Google DialogFlow, this is a course on building chatbots using Google DialogFlow Platform, as you know Chatbots improve customer service and do it by being available 24/7, replying to queries in no time, and reducing their typing efforts. If you want more pleased customers, you should implement chatbots in your business. this course will help you to build your own chatbot for your business without or with less coding. in this course we are using Google DialogFlow platform for building chatbots.

What is Chatbot ?

A Chatbot is a computer program that simulates and processes human conversation (either written or spoken), allowing humans to interact with digital devices as if they were communicating with a  real person. so if you heard of Siri, IBM Watson, Google Allo, etc. The basic problem that these bots try to solve is to become an intermediary and help users become more productive. They do this by allowing the user to worry less about how information will be retrieved and about the input format that may be needed to attain specific data.

or simply we can say that Chatbot is an assistant that communicates with us through text messages, a virtual companion that integrates into websites, applications or instant messengers and helps entrepreneurs to get closer to customers.

What is Google DialogFlow ?

Dialogflow is a natural language understanding platform that makes it easy to design and integrate a conversational user interface  into your mobile app, web application, device, bot, interactive voice response system, and so on. Using Dialogflow you can provide new and engaging ways for users to interact with your product. Dialogflow can analyze multiple types of input from your customers, including text or audio inputs (like from a phone or voice recording).  It can also respond to your customers in a couple of ways, either through text or with synthetic speech.

This course is divided in to different parts

0. Course Introduction : In this section we are going to introduce the course, also we are going to talk about course requirements.

1. Fundamental Concepts in DialogFlow & Chatbots: In this section we are going to talk about fundamental concepts on Chatbots and also Google DialogFlow.

2. Simple Appointment Scheduler: In this part we want to create a simple appointment scheduler and also we are implementing what we have learned in the previous part.

3. Chatbot Integration: In this section we integrate our Chatbot with different platforms like Facebook Messenger, WhatsApp and Twilio, Twitter, Kommunicate, ReactJS Website, VueJs Website and at the end integration with wix website.

4. Rich Response and Custom Payload: In this section we are going to talk about creating rich responses for the Chatbot users.

5. Simple Restaurant Chatbot:  In this section we are going to build a simple restaurant chatbot.

6. Backend REST API for ChatBot: In this section we build Backend REST API with Django and Django REST Framework, and after that we integrate that with our DialogFlow Chatbot.

7. Firebase Integration for ChatBot: In this section we integrate our Chatbot with Firebase Real Time Database.

8. Crypto Currency Finder ChatBot: In here we create a simple Crypto Currency Finder ChatBot, we will use an external API for this section.

9. Human Hand Off: In here we build a simple human handoff functionality, for example if the chatbot does not handle about the issue that you are asking, than after a few attempts it will hand over the chat to human agent.

Course Curriculum

Chapter 1: Course Introduction

Lecture 1: Course Introduction

Lecture 2: Course Requirements

Chapter 2: Fundamental Concepts in DialogFlow & Chatbots

Lecture 1: Section Introduction

Lecture 2: Chatbot & DialogFlow Introduction

Lecture 3: Introduction to Agent

Lecture 4: What are Intents

Lecture 5: Multi Lingual Agents

Lecture 6: Fulfillment

Lecture 7: Tracking Logs

Lecture 8: Follow-up Intent

Lecture 9: System Entity

Lecture 10: Custom Entity

Lecture 11: Extracting Values in Fulfillment

Chapter 3: Simple Appointment Scheduler

Lecture 1: Section Introduction

Lecture 2: Create Agent & Intent

Lecture 3: Small Talk

Lecture 4: Knowledge Base

Lecture 5: DialogFlow Chat Messenger

Lecture 6: Text to Speech Functionality for Chatbot

Chapter 4: Chatbot Integration

Lecture 1: Section Introduction

Lecture 2: Chatbot Integration with Facebook Messenger

Lecture 3: Chatbot Integration with WhatsApp & Twilio

Lecture 4: Chatbot Integration with Twitter

Lecture 5: Chatbot Integration with Slack

Lecture 6: Chatbot Integration with Kommunicate

Lecture 7: Chatbot Integration with ReactJS Website

Lecture 8: Chatbot Integration with VueJS Website

Lecture 9: DialogFlow Messenger with Wix Website

Chapter 5: Rich Response and Custom Payload

Lecture 1: Section Introduction

Lecture 2: Creating Chips with Rich Responses

Lecture 3: Adding Image to Custom Payload

Lecture 4: Add Links to Custom Payload

Lecture 5: Combining Elements of Custom Payload

Lecture 6: Custom Payload with Fulfillment

Lecture 7: Facebook Messenger Custom Payload

Lecture 8: Rich Responses for Facebook Messenger

Chapter 6: Simple Restaurant Chatbot

Lecture 1: Section Introduction

Lecture 2: Creating Intent and Custom Payloads

Lecture 3: Creating Menu Intent

Lecture 4: Creating Booking Intent

Chapter 7: Backend REST API for Chatbot

Lecture 1: Section Introduction

Lecture 2: Creating Project and App

Lecture 3: Serializing The Data

Lecture 4: Deploy to Heroku

Lecture 5: Creating Agent and Intent

Lecture 6: Inserting Data to Backend API

Lecture 7: Showing the data from Backend API

Chapter 8: Firebase Integration for Chatbot

Lecture 1: Section Introduction

Lecture 2: Creating Project in Firebase

Lecture 3: Inserting Data to Firebase

Lecture 4: Showing the Data from Firebase

Chapter 9: Crypto Currency Finder Chatbot

Lecture 1: Section Introduction

Lecture 2: Creating Agent, Intent and Custom Entity

Lecture 3: Getting the Crypto Prices from API

Chapter 10: Human Handoff Project

Lecture 1: Section Introduction

Lecture 2: Introduction to Human Handoff

Lecture 3: Installation

Lecture 4: Setup the Credentials

Lecture 5: Run the app

Chapter 11: Chatbot Custom SDK Integration for Websites

Lecture 1: Section Introduction

Lecture 2: Create Your Chatbot

Lecture 3: Installing Packages

Lecture 4: Working in Chatbot UI Part One

Lecture 5: Working on Chatbot UI Part Two

Lecture 6: Working on Chatbot Backend

Lecture 7: Google Cloud SDK Initialization

Lecture 8: Testing the Chatbot

Chapter 12: Weather Chatbot with DialogFlow and Amazon Web Services

Lecture 1: Introduction

Lecture 2: Create Agent

Lecture 3: Get Weather Information from API

Lecture 4: Testing Chatbot

Lecture 5: What is AWS Elastic Beanstalk

Lecture 6: Create Elastic Beanstalk Project

Lecture 7: Deploy to Github

Lecture 8: Deploy Flask Webhook to AWS Elastic Beanstalk

Lecture 9: What is Amazon Route53

Lecture 10: Buy Domain Name from Route53

Lecture 11: Add Route53 to Webhook

Lecture 12: What is Amazon Certificate Manager

Lecture 13: Add Certificate to Webhook and Testing

Lecture 14: Remove Resources

Instructors

Parwiz Forogh
Programmer

Rating Distribution

1 stars: 3 votes

2 stars: 0 votes

3 stars: 11 votes

4 stars: 22 votes

5 stars: 39 votes

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