Google Assistant development with Actions on Google

Google Assistant development with Actions on Google, available at $54.99, has an average rating of 4.2, with 85 lectures, based on 517 reviews, and has 3521 subscribers.

You will learn about Create apps for Google Assistant Work with DialogFlow Publish actions to Google Assistant directory Test apps This course is ideal for individuals who are Anyone who wants to build apps for Google Assistant It is particularly useful for Anyone who wants to build apps for Google Assistant.

Enroll now: Google Assistant development with Actions on Google

Summary

Title: Google Assistant development with Actions on Google

Price: $54.99

Average Rating: 4.2

Number of Lectures: 85

Number of Published Lectures: 82

Number of Curriculum Items: 88

Number of Published Curriculum Objects: 85

Original Price: $139.99

Quality Status: approved

Status: Live

What You Will Learn

Create apps for Google Assistant
Work with DialogFlow
Publish actions to Google Assistant directory
Test apps

Who Should Attend

Anyone who wants to build apps for Google Assistant

Target Audiences

Anyone who wants to build apps for Google Assistant

Hello, and welcome to the course where you will build an app for the Google Assistant. Are you excited?

This course will show you how to create an app for the Google Assistant and Google Homein Node.js!

You’ll learn about Google Assistant development from scratch!

Assistants represent one of the major trends in 2020. Some have even suggested they’ll eventually supplant our app-based ecosystem. With apps for Assistants, you’re building an app that works on smart speakers, like Google Home, and devices like Android phones, Android watches.

App leaders like Apple, Amazon, and Google, who want to guarantee that people spend most of their time in their apps, are placing big bets on Assistants. And devices like Google Home are penetrating into our homes.

So, if the predictions turn right, this will open up a new channel for businesses to reach a large audience. And here is a BIG OPPORTUNITY FOR YOU! Be one of the first people that know how to build apps for the Assistant. You can build it for your business or other people.

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.

In the tutorial, we’ll be building a sample app. Its purpose is only to show you how things work. We’ll host our app on Firebase, so you’ll learn how to use Firebase Realtime database and use Firebase functions. To get the most out of the course, you can work on this sample bot and also work on your own ideas. I’ve added assignments where you’ll build your app.

For this course, YOU NEED PROGRAMMING SKILLS; you need at least basic node.js knowledge and basic expertise with GIT. And the best way to learn is to work with me all through the course. I’ll be here all the way.

You DON’T NEED TO HAVE GOOGLE HOME; we will test on the simulator.

If you have any questions, let me know. If something is not clear, let me know. Contact me via the private messaging or Frequently asked questions, and we’ll clear things up. This will help me and the course to get better!

This domain is still very new and changing rapidly. I’m working on making this course as fresh as it can be.

And remember, I’LL BE THERE FOR YOU. I help all my students at every step of development.

So, let’s get started.

The last update of the course was on:

27th February 2020

I added DialogFlow mega agents

15th November 2019

I added: Account Linking with Google SignIn

15th November 2019

I added: REGEXP entities, an automated expansion for entities and fuzzy matching

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Extending Google Assistant. Creating the Actions on Google project

Lecture 3: Connect Google Action with DialogFlow

Lecture 4: How to get help

Lecture 5: Additional resources

Chapter 2: Build Google Assistant app for Google Home with DialogFlow

Lecture 1: DialogFlow behind the scenes

Lecture 2: Designing conversations

Lecture 3: DialogFlow Features!

Lecture 4: Default Fallback intent and Default Welcome Intent

Lecture 5: Let's try the simulator!

Lecture 6: FAQ action Assignment

Lecture 7: DialogFlow tutorial FREE ebook

Chapter 3: DialogFlow Fullfilment / Firebase function and serverless architecture

Lecture 1: Dialog fulfillment – What is it?

Lecture 2: Using WebHook for Fulfilment

Lecture 3: Firebase function and serverless architecture introduction

Lecture 4: Deploy and test fulfilment

Lecture 5: Custom intent handler – voting quiz

Lecture 6: Read parameters and use the log

Chapter 4: Setup local environment for building apps for Google Assistant (Google Home)

Lecture 1: Install and login to Firebase

Lecture 2: Connect local code to Firebase

Lecture 3: Deploy to Firebase from a local environment

Lecture 4: GRPC not working with node v12 WARNING!

Lecture 5: Upgrade Firebase Account

Lecture 6: Resolving common errors

Chapter 5: Realtime database for storing and retrieving data in Actions on Google app

Lecture 1: Firebase Realtime database introduction

Lecture 2: Firebase Realtime vs Cloud Firestore

Lecture 3: Setup Firebase Realtime database

Lecture 4: Save votes to Realtime database

Lecture 5: Use webhook for slot feeling / store session data

Lecture 6: Get results from database

Lecture 7: Async Await Syntax

Lecture 8: Show results from Database

Chapter 6: Call web services (APIs) in Actions on Google app fro the Google Assistant

Lecture 1: Calling external service (APIs) introduction

Lecture 2: Meetup.com API

Lecture 3: Introduction to web services (API)

Lecture 4: Get the API key and explore API

Lecture 5: Create Intent for show meetups API call

Lecture 6: Call API and save the response

Lecture 7: Display service response in a basic card (for devices with screen capabilities)

Chapter 7: OK Google, let's create follow up intents in the DialogFlow used in dialogues

Lecture 1: Follow up intents introduction

Lecture 2: Follow up intent – next item

Lecture 3: List all Item response

Lecture 4: Select number and selected option response

Chapter 8: Naming Action for Google Assistant & Assignements, working on demo project

Lecture 1: Naming the action

Chapter 9: Surface capabilities & SSML (apps for speakers, devices with screen – HOW TO)

Lecture 1: Surface capabilities and SSML introduction

Lecture 2: How to use SSML in responses

Lecture 3: Surface capabilities implementation

Chapter 10: Testing your new app for Google Assistant – simulator, devices, test users

Lecture 1: Testing introduction

Lecture 2: Testing on my phone

Lecture 3: Testing on Google Home

Lecture 4: Adding test users and testing in simulator

Chapter 11: Assignments, creating project, building apps for the Google Assistant – projects

Chapter 12: Submit your app on Actions on Google for approval. Get your app published

Lecture 1: Submit your app for approval Introduction

Lecture 2: Submit your app for approval

Lecture 3: Deployment states

Lecture 4: Assistant app directory

Chapter 13: Extra content – DialogFlow Q&A

Lecture 1: How to validate a parameter in DialogFlow

Lecture 2: How to call another intent from DialogFlow fulfillment

Lecture 3: How to prevent parameter validation loop for Actions on Google

Lecture 4: REGEXP entities

Lecture 5: Regex cheat sheet

Lecture 6: Allow automated expansion

Lecture 7: Fuzzy matching

Lecture 8: DialogFlow Mega Agents

Chapter 14: Bitcoin API implementation

Lecture 1: API introduction and plan of work

Lecture 2: Intents for bitcoin investment calculation

Lecture 3: Composite entities

Lecture 4: Investment return in a specific period

Lecture 5: Calculate investment

Lecture 6: Get bitcoin price

Lecture 7: Show bitcoin investment response for the specific period

Lecture 8: Show bitcoin investment in a simple card

Lecture 9: Show bitcoin investment overview in a browsing carousel

Lecture 10: Save bitcoin request data

Chapter 15: Sentiment analysis

Lecture 1: Sentiment analysis in a nutshell

Lecture 2: Sentiment analysis for a chatbot

Lecture 3: Common implementation scenarios in chatbot

Lecture 4: More about sentiment analysis

Chapter 16: Account Linking with Google SignIn

Lecture 1: Account Linking introduction

Lecture 2: Google SignIn – Setup

Lecture 3: Google SignIn – Test

Chapter 17: Platforms, NLP & Libraries for Voice Bots & Chatbots

Instructors

Jana Bergant
Web developer, IT instructor

Rating Distribution

1 stars: 7 votes
2 stars: 16 votes
3 stars: 68 votes
4 stars: 179 votes
5 stars: 247 votes

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