Learn Google Assistant Development in 48 Hours
Develop Apps for Google Assistant with the help of Dialogflow(API.AI),Firebase and Raspberry Pi
Development,Google Assistant development
Lectures -49
Resources -13
Duration -2.5 hours
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Course Description
This course is the best place to start for anyone who is interested in creating applications for Google Assistant. You must be curious by now why Google and Amazon are spending so much on their voice assistants. Google reported that within the last 6 months there has been 45 percent increase in voice activated queries and it is still increasing, they also report that almost 25% of the google searches are voice searches, which is huge. These statistics clearly show the opening of a large platform entering into our lives and this is the best time than ever to involve ourselves into it so that we can gain the most out of it as developers.
This course with just more than 40 lectures and spanning for about 3 hours clearly portrays all the functionalities of Dialogflow(API.AI) and it also teaches how to use Firebase the Google's well known application development platform, most of all it takes you through how to make your Raspberry Pi into a Google Assistant enabled device and finally we will control our Raspberry Pi using voice commands by making our Raspberry Pi a web server, like the one I have shown in the promo video
Being a beginner level course I have made this course in such a way that anyone with no prior experience in Voice apps and NodeJs can easily assimilate the content and at the end of course can create a complete Google Assistant applications which can be published for the world to use.
I will be always available for any of your queries and suggestions as we move through the course.
Take the course and join more than 13,000 happy students of Makerdemy.
Who this course is for:
- This is a beginner level course meant for people who are interested in publishing Google Assistant applications
- Anyone interested in learning back-end programming for voice applications using firebase
- Anyone who is interested in controlling their Raspberry Pi using voice commands
- Anyone who wants to learn hosting a web server from Raspberry Pi
Goals
What will you learn in this course:
You will learn how to use almost all the functionalities of DialogFlow(APIAI) and how it is used to customize our Google Assistant Action
You will learn to create a back-end system for our application using Firebase
You will learn how to use SSML to make your response sound more lively
You will also learn to build Rich responses
You will be introduced to Raspberry Pi
You will learn how to make your Raspberry Pi a Google Assistant enabled device.
You will learn how to host your backend server program from our Raspberry Pi
You will learn how to control your Raspberry Pi using voice commands
Prerequisites
What are the prerequisites for this course?
This course has two parts and the first part doesn't require any prerequisites, just basic computer knowledge will suffice
The second part dealing with Raspberry Pi will require the following
Raspberry Pi Board
A mic and a speaker (or) earphones
A basic understanding of electricity and electronics
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
5 Lectures
- Introduction 01:40 01:40
- Course outline 01:48 01:48
- Google Home Setup 01:55 01:55
- API.AI and Actions 01:49 01:49
- Initial Setup 06:19 06:19
Project 1 : Simple response(Intent & Entity)
5 Lectures
Fulfillment using Web hook
7 Lectures
Calculator
6 Lectures
Context
5 Lectures
Publication
1 Lectures
SSML & Rich response
2 Lectures
Raspberry Pi
4 Lectures
Raspberry Server
13 Lectures
Conclusion
1 Lectures
Instructor Details
Venkatesh Varadachari
Venkatesh Varadachari is the founder of MAKERDEMY, a pioneer maker education company head-quartered in Singapore.
Venkatesh believes that knowledge should be made available to people in all walks of life. Venkatesh also believes in the power of education to transform lives.
Venkatesh has an MBA from the prestigious Indian Institute of Management, Bangalore.
He also has a degree in Electrical Engineering from Madras University and a Masters in Financial Engineering from National University of Singapore.
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