Chatbot Building: DialogFlow & Wit.AI Chatbots with Node.JS
3.4 (6 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
62 students enrolled

Chatbot Building: DialogFlow & Wit.AI Chatbots with Node.JS

Talking Chatbot - Google Dialogflow, Wit.AI & Node.JS Facebook Massenger Bot. Build a Bot. DialogFlow Facebook Chatbot
3.4 (6 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
62 students enrolled
Last updated 12/2018
Current price: $34.99 Original price: $49.99 Discount: 30% off
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This course includes
  • 2 hours on-demand video
  • 2 articles
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Understanding concepts of building chatbots with DialogFlaw & Wit•ai
  • Building chatbots for Facebook Messenger
  • Natural Language Processing with DialogFlow
  • Deploying your chatbot in Heroku application platform
Course content
Expand all 11 lectures 01:51:21
+ Dialogflow Chatbot for NodeJS Developers
5 lectures 58:34

Let's get started with our first project using Google Dialogflow. So what is an intent?  An intent is a way to understand what the user is actually saying.  So that's how the intents work in chatbot development and Natural Language Understanding.

The first step to creating a Messenger bot is to create a server that will be provided as a webhook when setting up the bot. The webhook provides the core of your chatbot experience as it is how your bot gets notified of the various interactions and events that happen, including when someone sends a message.

Preview 15:41
DialogFlow Chatbot Entities

Context is a way to store some sort of information between the exchange of dialogues or conversation. Let's see how to apply it in your DialogFlow chatbot.

DialogFlow Chatbot Contexts

Deploying our DialogFlow chatbot to Facebook Messenger Platform.

Chatbot Integration to Facebook Messenger

Download the final code files of the DialogFlow Node.JS chatbot.

Code Files: Final DialogFlow Node.JS Chatbot
+ Chatbot for NodeJS Developers
6 lectures 52:46

An introduction to traits, keywords and free-text Overview - Traits Keywords Freetext

Setting up a new chatbot project and training it with a few training examples.

Intents and entities are the basis on which (or any other NLP tool) can parse data from your user. Intents represent a mapping between what a user says and what action should be taken by your software.

Example: If a user types out 'What's the weather in San Francisco?', the intent here is weather.

Entities represent concepts that are often specific to a domain as a way of mapping natural language phrases to canonical phrases that capture their meaning. Entities are a tool for extracting parameter values from natural language inputs.

Example: In a weather bot, a user can query the bot and ask for the weather in a particular city. A typical query can look like: 'What's the weather in London?' and the bot will return with a weather report. Other queries can be for the weather in Bangalore, Paris, Stockholm or any other location. Thus the domain that is common to all these queries is location, which is the entity here. Chatbot Intents & Entities

To test our chatbot training examples we actually need to integrate the chatbot application to our Facebook Messenger platform. Let's do that with NodeJS. So we have to create our Webhook using NodeJS.

Webhook Chatbot Setup for Facebook Messenger

Facebook chatbot for currency conversion using

Currency Conversion Chatbot

Deploying your chatbot to Heroku platform.

Chatbot Deployment to Heroku

Download the final code files of the Node.JS chatbot.

Code Files: Final Node.JS Chatbot
  • Its necessary to have basic programming knowledge on Node JS

Do you want to create a talking chatbot that interact with your visitors? In this tutorial, you will learn how to create a Facebook chatbot with Node.JS using DialogFlow and Wit.AI platforms. Both DialogFlow and Wit.AI provide several Natural Language Processing functions that parse user input and match them to the right response. Implementing NLP in your bot can be pretty difficult, but there are several platforms that make it much easier to create a Facebook Messenger bot.

DialogFlow (formerly Api.AI, Speaktoit) is a Google developer of human–computer interaction technologies based on natural language conversations. Dialogflow is backed by Google and runs on Google Cloud Platform.

In this DialogFlow Node.JS tutorial, you will learn how to build a Facebook Messenger chatbot that incorporates NLP with Dialogflow and deploy it to Facebook.

Wit.AI makes it easy for developers to build chatbot applications and devices that you can talk or text to. Wit.AI is a natural language processing (NLP) tool that helps developers get structured data from chat or voice. Wit.AI makes it easy to build NLP into your chat bot, that learns from every interaction. If you want to build a Facebook bot even if you have not before, Wit.AI would be a great option.

In this Wit.AI Node.JS tutorial, you will learn how to train a chatbot using wit.AI by creating intents and entities for your chatbot data to build a Facebook Messenger chatbot.

This chatbot course will help you:

  • Build chatbots using JavaScript and Node.JS

  • Use DialogFlow to build a chatbot.

  • Use Wit.AI to build a chatbot.

  • Understand intents and entities.

  • Build a Facebook Messenger bot.

  • Deploy chatbot apps to cloud platforms such as Heroku.

Keywords: google apis client, google api client, google apis, google api, google, google cloud platform, google cloud, cloud, google dialogflow, dialogflow chatbot, Dialogflow API, chatobots

Who this course is for:
  • Software Node JS developers looking to build chatbots for their websites and mobile apps
  • Developers of Facebook looking to build Massenger chatbots
  • Development professionals and students looking to learn how to use DialogFlow and Wit-AI to build chatbots.