Hands-on Chatbots with Google Dialogflow

Hands-on Chatbots with Google Dialogflow, available at $64.99, has an average rating of 3.96, with 35 lectures, based on 489 reviews, and has 3538 subscribers.

You will learn about 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 This course is ideal for individuals who are Website and mobile app developers looking to add chat functionality or Software developers looking to build sophisticated chatbots or Developers of Facebook, Slack or other messaging platform apps looking to add chatbots to their apps It is particularly useful for Website and mobile app developers looking to add chat functionality or Software developers looking to build sophisticated chatbots or Developers of Facebook, Slack or other messaging platform apps looking to add chatbots to their apps.

Enroll now: Hands-on Chatbots with Google Dialogflow

Summary

Title: Hands-on Chatbots with Google Dialogflow

Price: $64.99

Average Rating: 3.96

Number of Lectures: 35

Number of Published Lectures: 35

Number of Curriculum Items: 35

Number of Published Curriculum Objects: 35

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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

Target Audiences

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

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

Course Curriculum

Chapter 1: Introduction

Lecture 1: You, This course And Us

Lecture 2: Code for This Course

Chapter 2: The Big Picture

Lecture 1: Course Outline and Pre-reqs

Lecture 2: Introducing DialogFlow

Lecture 3: The Big Picture

Lecture 4: Setting Up Dialogflow

Chapter 3: Building Blocks of Interaction Models

Lecture 1: Section Outline

Lecture 2: Creating Your First Agent

Lecture 3: Exploring Agent Settings

Lecture 4: Default Intents

Lecture 5: Smalltalk

Lecture 6: Custom Intents

Lecture 7: System Entities And Developer Entities

Lecture 8: Defining Developer Entities

Lecture 9: User Expressions for Intents

Lecture 10: Configuring and Testing the BookCars Intent

Lecture 11: Configuring and Testing the BookRooms Intent

Chapter 4: Linear and Non-linear Dialogs

Lecture 1: Section Overview

Lecture 2: Contexts

Lecture 3: Follow up Intents

Lecture 4: Linear Dialogs

Lecture 5: Non-linear Dialogs

Lecture 6: Non-linear Dialogs continued

Chapter 5: Fulfillment, Deploymentand 3rd Party Integration

Lecture 1: Section Outline

Lecture 2: Check Weather Intent

Lecture 3: Basic Setup Of Webhook Code

Lecture 4: Extracting Parameter Values And Structuring Responses

Lecture 5: Calling The Open Weather Map API

Lecture 6: Retrieving Weather Info From Open Weather Map

Lecture 7: Introducing Heroku

Lecture 8: Deploying Your Web Application

Lecture 9: Fulfillment Using Webhooks

Lecture 10: Configuring A Slack App

Lecture 11: Integrating Dialogflow With Slack

Lecture 12: Fulfillment Using Cloud Functions

Instructors

Loony Corn
An ex-Google, Stanford and Flipkart team

Rating Distribution

1 stars: 14 votes

2 stars: 18 votes

3 stars: 69 votes

4 stars: 190 votes

5 stars: 198 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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