Create Chatbot for Website with React and Node.js

Create Chatbot for Website with React and Node.js, available at $64.99, has an average rating of 4.35, with 111 lectures, based on 668 reviews, and has 5557 subscribers.

You will learn about Have an intelligent chatbot build in a website Have a demo chatbot that they can tweak and suit to their needs Learn t use DialogFlow Create a custom chatbot This course is ideal for individuals who are everyone who wants to build a chatbot for the page or has at least a basic programming skills (nodejs & react) or everyone who is interested in conversational commerce It is particularly useful for everyone who wants to build a chatbot for the page or has at least a basic programming skills (nodejs & react) or everyone who is interested in conversational commerce.

Enroll now: Create Chatbot for Website with React and Node.js

Summary

Title: Create Chatbot for Website with React and Node.js

Price: $64.99

Average Rating: 4.35

Number of Lectures: 111

Number of Published Lectures: 109

Number of Curriculum Items: 113

Number of Published Curriculum Objects: 111

Original Price: 149.99

Quality Status: approved

Status: Live

What You Will Learn

Have an intelligent chatbot build in a website

Have a demo chatbot that they can tweak and suit to their needs

Learn t use DialogFlow

Create a custom chatbot

Who Should Attend

everyone who wants to build a chatbot for the page

has at least a basic programming skills (nodejs & react)

everyone who is interested in conversational commerce

Target Audiences

everyone who wants to build a chatbot for the page

has at least a basic programming skills (nodejs & react)

everyone who is interested in conversational commerce

In this course, you will build a chatbot for a Webpage. We’ll useNode.js and React for programming and GIT for deploying and version control. The bot will be hosted on Heroku, but you can simply host it anywhere else where they support Node.js. We’ll use DialogFlow to process natural language.DialogFlow will help us understand what users want.

In the course, we’ll be building a sample chatbot. Its purpose is only to show you how things work. Our bot on the page will help us sell products. It will give recommendations and measure demand.

In the process of building this chatbot, you’ll learn all that is needed to build a great bot. To get the most out of the course, you can work on this sample bot, and in the end, tweak it to suit your needs.

You need to have at least basic knowledge of Node.js and React to start with this course. For versioning, we use GIT; therefore, you need to be familiar at least with basic git commands.

To make it easier for you, I’ve added git commits with changes to every video that has a change in the code. This way, you can compare your code to mine. And you won’t lose time debugging. And remember for any questions I’m available in the Questions and answers. You are not alone.

And remember, I’LL BE THERE FOR YOU.

The bot will be able to remember things, that isstore information into a databaseor connect to other API services. I’ll show youdifferent implementations so that you can play and find out what suits you most.

At the end of the course, you’ll have a demo chatbot that you can tweak and tailor to your needs.

My name is Jana Bergant, and I’m a developer with over 20 years of experience. I’m an IT instructor teaching people new tech skills. Over 17000 people are already taking my course.

I help all my students at every step of development. And I’ll be here for you!

Let me tell you a bit about every section of this course.

In the first section, we’ll take an overview of the app and get familiar with the tech stack, which is the technology used in this course. We’ll look at application architecture and different ways we can implement it. We’ll go through every implementation. And I’ll take you through the development stages.

The second section will introduce you to DialogFlow, a natural language processor, that we’ll use to understand what our visitors want from the chatbot. We’ll go through building blocks of DialogFlow. You’ll learn about agents, intents, entities, parameters, prebuild agents, and more.

Then in the third section, we start building the server-side app for the chatbot. We’ll install the Express library and generate an express app. After we are trough with configuration, we deploy it to Heroku. To speed up the development process, we’ll set up a local development server called Nodemon.

When you have a basic server-side app created, you’ll be able to connect it to DialogFlow. And that is what we’ll do in section 4.

And frontend will be the next step. In the fifth section, weset up React, configure local servers, create a proxy for communicating with the backend. And we’ll develop components. Components for the page and for the chatbot. Our chatbot will begin to look like a chatbot in the 5th section.

But we’ll polish it in the 6th section, where we’ll create rich messages for the chatbot like cards and quick replies. And also, we’ll go deeper into DialogFlow’s features, like follow up intents, contexts, events, and slot feelings. Features that make bot creation much easier and much friendlier!

When our bot is polished, we can make it smarter. We want our bot to remember what the user says. Therefore we need to store information that we get from the user. In the 7th section, we’ll be saving to the database and also use what we know about the user in a conversation. To make the bot friendlier. We like if people remember our preferences, it is the same with bots.

In the 8th section, I’ll show you a different way to implement handling actions. We’ll be using DialogFlow’s fulfillment. I’ll show you how to call fulfillment only for intents that need extra code to be run. Only for intents that need to get information from a database, or that need to call some other API, or maybe connect to a device.

When we master fulfillment, we’ll deploy to Heroku. In the 9th section, we’ll take care of some extra configuration like routing, postbuild scripts for generating frontend; we’ll also go through the code and make sure all is as needed before we deploy.

And finally, in the 10th section, I’ll show you how toconnect to DialogFlow straight from FrontEnd. To do that, we’ll need to make some changes to the architecture. I’ll tell you the benefits of every decision.

After the course, you’ll have a demo bot that you can tweak and tailor to your needs. And you’ll have the knowledge to upgrade it.

See you on the course!

Jana

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The last update of the course was on 27th February 2020

I added DialogFlow mega agents

Course Curriculum

Chapter 1: Introduction / Course Overview

Lecture 1: Introduction

Lecture 2: App OverView

Lecture 3: Tech-Stack

Lecture 4: Behind the scenes – application architecture

Lecture 5: Fulfillment Flow

Lecture 6: Development stages

Lecture 7: How to get help

Lecture 8: Additional resources

Chapter 2: DialogFlow introduction

Lecture 1: DialogFlow Introduction / Create an agent

Lecture 2: Google project / service accounts / agent settings

Lecture 3: DialogFLow Intents Basics – Fallback and Welcome intent

Lecture 4: DialogFLow Intents Basics – Developer defined Intents

Lecture 5: DialogFlow Entities

Lecture 6: Intents with parameters

Lecture 7: Prebuild agents

Lecture 8: Smalltalk

Lecture 9: DialogFlow tutorial FREE ebook

Chapter 3: Server Side App

Lecture 1: Architecture Introduction

Lecture 2: Install Express & Generate Express App

Lecture 3: Heroku deployment configuration

Lecture 4: Heroku deployment

Lecture 5: Nodemon setup

Chapter 4: Connect Server Side app & DialogFlow

Lecture 1: Introduction

Lecture 2: Routes

Lecture 3: DialogFlow module Authentication setup part 1

Lecture 4: DialogFlow module Authentication setup part 2

Lecture 5: Setting environment variables in Windows

Lecture 6: Text query to DialogFlow with Async await

Lecture 7: Chatbot module

Lecture 8: Event query to DialogFlow

Lecture 9: Encoding parameters

Lecture 10: Config local & server / Heroku env variables

Lecture 11: Deploy to Heroku / Test endpoints

Lecture 12: Common errors when first deploying to Heroku

Lecture 13: GRPC not working with node v12 WARNING!

Chapter 5: FrontEnd – Client Side – React setup

Lecture 1: FrontEnd – Client Side Introduction

Lecture 2: React app Generation

Lecture 3: Two servers for development

Lecture 4: Proxy

Lecture 5: Proxy upgrade

Lecture 6: Components for the page – part 1

Lecture 7: Components for the page – part 2

Lecture 8: HTML & CSS with Materialize

Lecture 9: Connect Server and Client

Lecture 10: Add API calls to backend APP

Lecture 11: Simple Message component

Lecture 12: Welcome message

Lecture 13: Enable text input from user

Lecture 14: Scroll to last message rendered

Lecture 15: Unique Session for visitors

Chapter 6: Developing Frontend

Lecture 1: Introduction

Lecture 2: Cards Message in DialogFlow

Lecture 3: Cards response from DialogFlow in React App

Lecture 4: Card component

Lecture 5: Render card galleries part 1

Lecture 6: Render card galleries part 2

Lecture 7: QuickReplies Message in DialogFlow

Lecture 8: Quick replies components

Lecture 9: Quick replies components implementation

Lecture 10: Follow up intents

Lecture 11: DialogFlow contexts

Lecture 12: Quick replies test

Lecture 13: DialogFlow events

Lecture 14: Slot filling

Lecture 15: Person Entity

Lecture 16: Show / hide bot

Lecture 17: Welcome on Shop – DialogFlow setup

Lecture 18: Welcome on Shop – listen to navigation history

Lecture 19: Chatbot – a pause between messages

Chapter 7: Save data from conversation to database

Lecture 1: Mongo db introduction

Lecture 2: Mongo db setup

Lecture 3: Mongoose Introduction

Lecture 4: Add Mongoose to code

Lecture 5: Where to catch and save registration

Lecture 6: Mongoose model Classes

Lecture 7: Saving registration

Chapter 8: Fulfillment

Lecture 1: Introduction to fulfillment

Lecture 2: Ngrok for local fulfillment

Lecture 3: Fulfilment setup

Lecture 4: Fullfilment write to database

Lecture 5: Fullfilment read from database

Chapter 9: Deploying to Heroku

Lecture 1: Dev vs Prod environment

Lecture 2: FrontEnd routing on Server

Lecture 3: Build script for client – postbuild script

Lecture 4: Code optimisation before deployment

Lecture 5: Deploying on Heroku

Chapter 10: JavaScript client

Lecture 1: JavaScript client introduction

Lecture 2: JavaScript token generation

Instructors

Jana Bergant
Web developer, IT instructor

Rating Distribution

1 stars: 16 votes

2 stars: 9 votes

3 stars: 57 votes

4 stars: 217 votes

5 stars: 369 votes

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