google cloud computing tutorial
In
this Article introduction to Google Cloud computing. This video is intended for use by
anyone interested in preparing for their future careers. For more information
visit the official google cloud platform
Introduction:
In the next few minutes, we're going to discuss what Google Cloud is and what some student developers have been able to create with it. Ready? We're going to start by going back in time.Let's pretend for a moment that we're in the time before cloud computing, and we want to start a company to create a social networking site.
You'd start by buying a server, lugging it all the way home from the store, and spending hours preparing it with all the correct hardware and software so it can run your company's web app.
Fast forward a few months, and things are looking up for your company's site. The users are flooding in. As your organization's user base grows, you have to buy and install more and more servers. This is called scaling.
Eventually, you're doing so well that the company opens up a data center. Next to the thing you know, you're international and spending billions of dollars opening
data centers all around the world.
Sounds like a lot of work, right? Here's the good news. You don't have to do any
of that. Luckily, some companies have spent years building some of the world's
most advanced networks of data centers.
Cloud computing is when these companies allow developers to store data and run code on their computing infrastructure. Google is one of these companies. Google has data centers all around the world
that has allowed it to scale to billions of users. These data centers house
the computing infrastructure that powers the Google products you may be
familiar with, such as Search, Gmail,
and Google Photos.
Google Cloud gives you access to the same technology and infrastructure
that powers Google. This means that Google Cloud
has over 100 products and tools in categories like compute, storage, and
machine learning and artificial intelligence that seamlessly integrates together
all a click away.
One category is computed. These products help you deploy code to the cloud. For
example, we may use a compute product like App Engine to deploy a social
networking site. Another category is storage and databases. These products help us store data, retrieve, and query data in the cloud. For example, we may want to store data for our dog walking app, the dogs' names and locations, in a Cloud
Firestore database.
We also have machine learning and artificial intelligence. These products allow
us to leverage Google's AI technologies for our own applications. We can build
and deploy our machine learning models to AI Platform or take advantage of one
of the easy-to-use pre-trained machine learning APIs like Vision or Natural
Language. So what is Google Cloud?
In a sentence, Google Cloud lets developers build and host
applications and websites, store data and analyze data, all on Google's
scalable and reliable computing infrastructure.
Now, let's see what some student developers have done with Google Cloud. A team of student developers called Guardian worked together to help
Alzheimer's patients with a GPS-enabled smartwatch. The Guardian team leveraged
a lot of the Firebase platform for their application.
Firebase is Google Cloud's comprehensive mobile development platform. The team
used Firebase Authentication to easily verify app users, Firebase Cloud
Messaging to send push notifications to different platforms, and Cloud
Functions for Firebase to execute back end code without having to manage a
server.
They also used Cloud Firestore, a Google Cloud database, to store and sync user
data. A team of student developers created a service called Nagesh to help
people who are deaf or hard of hearing a talk on the phone.
They leveraged Google Cloud's Text-to-Speech and Speech-to-Text APIs to convert
back and forth between voice and text. And that's it. Let's review. We started
by talking about what Google Cloud is, a platform that lets developers build and
host applications and websites, store
data, and analyze data, all on Google's scalable and reliable computing
infrastructure.
Then we discussed some of the incredible projects that student developers were
able to build with these tools when working to learn skills for their future
careers. And I can't wait to see what
you build with Google Cloud.
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