Hands-on Chatbots with Google Dialogflow

Name: Hands-on Chatbots with Google Dialogflow
Rating: 4.1 (527 reviews)

Formerly known as API.AI

Created byLoony Corn

Last updated 12/2017

English

What you'll learn

Build and deploy natural-sounding chatbots
Design and build sound interaction models for your chatbots
Deploy web apps to Heroku
Develop third-party apps for Slack and other messaging platforms

Course content

5 sections • 35 lectures • 4h 8m total length

You, This course And Us2:10
Code for This Course0:12

Section Outline2:49
Creating Your First Agent5:41
Exploring Agent Settings8:51
Default Intents6:45
Smalltalk6:03
Custom Intents6:32
Explore how custom intents map user requests to backend actions in Dialogflow, configuring user expressions, actions, responses, and contexts to trigger server code for booking rooms or cars.
System Entities And Developer Entities6:10
Defining Developer Entities8:38
User Expressions for Intents11:29
Explore how Dialogflow annotates user expressions to fill intent parameters, configure the user says section, and map entities for book cards and book rooms.
Configuring and Testing the BookCars Intent10:27
Configuring and Testing the BookRooms Intent6:54

Section Outline4:49
Check Weather Intent5:48
Basic Setup Of Webhook Code5:32
Extracting Parameter Values And Structuring Responses6:01
Calling The Open Weather Map API5:37
Retrieving Weather Info From Open Weather Map5:02
Introducing Heroku8:27
Deploying Your Web Application10:12
Fulfillment Using Webhooks7:12
Configuring A Slack App7:40
Integrating Dialogflow With Slack6:10
Integrate Dialogflow with Slack to enable a weatherboard, configure client ID, client secret, and verification token, and test event subscriptions and bot user interactions with the open weather map API.
Fulfillment Using Cloud Functions11:32

Requirements

Basic proficiency at programming in Python
Basic understanding of HTTP and how REST APIs work

Description

Chatbots are voice-aware bots, i.e. computer programs designed to simulate human conversations with users. This course introduces Dialogflow, Google's conversational interface for bots, devices and applications.

DialogFlow is state-of-the-art, launched in September 2016
No deep learning or natural language processing expertise is needed to build even very complex bots
Provides an intuitive way of specifying the conversational interface
Automatically and dynamically adjusts conversational responses
Easy to build, test and publish apps
Supports one-click integration with other chat platforms such as Slack and Facebook

In this course, we will cover:

The big picture: How conversation flows in Dialogflow
Interaction models: Intents, entities, contexts and their resolution into API calls
Managing dialogs: Handling the flow of conversation using linear and non-linear dialogs.
Fulfilment models: Using webhooks to fulfill user intents and how to connect to external services to respond to queries.
Deployment: Deploying a flask app to Heroku, and a Cloud Function to the Google Cloud Platform
Third-party integration: Integrating a bot with Slack

Who this course is for:

Website and mobile app developers looking to add chat functionality
Software developers looking to build sophisticated chatbots
Developers of Facebook, Slack or other messaging platform apps looking to add chatbots to their apps

Hands-on Chatbots with Google Dialogflow

What you'll learn

Explore related topics

Course content

Introduction2 lectures • 2min

The Big Picture4 lectures • 33min

Building Blocks of Interaction Models11 lectures • 1hr 20min

Linear and Non-linear Dialogs6 lectures • 49min

Fulfillment, Deploymentand 3rd Party Integration12 lectures • 1hr 24min

Requirements

Description

Who this course is for: