Getting to know a new technology can be intimidating. Maybe not as intimidating as meeting the world’s top secret agent, but still. And with 52% of enterprise companies in this Forbes contributor survey identifying themselves as “cloud first”, the pressure is on.
So what’s the best way for you to introduce yourself to the cloud? Here are three easy ways to start familiarizing yourself with Google Cloud. Even better, these resources are free of charge.
Are you ready for your Google Cloud introduction?
1. Google Cloud’s free trial
The fastest way to get started with GCP: new users are eligible for a $300 free trial. You can test-drive GCP with a new project, or try completing a Codelab or two.
2. Deep-dive webinars
Spend time with the experts! This webinar series offers five sessions, and you have two remaining opportunities to attend: 3/23 and 3/29.
You can make a whole day of it. Start at 10:00 PDT and learn how to take advantage of Google-grade security and industry-leading pricing and performance. Then at 1:00, see how to store petabytes of data with no upfront payment, no administrative costs, and no licensing fees. Finish the day with building several machine learning solutions. Or register for all of them!
Help yourself to hours of product demos and announcements that happened at Next, whether or not you made it to San Francisco earlier this month. Here at Qwiklabs we are psyched to investigate how we can use Google Cloud Spanner, the first and only relational database service that is both strongly consistent and horizontally scalable. Click here for a demo.
Catch up on the latest with each day’s keynotes and breakout sessions. Start here with the highlights of day 1.
If you are already a Qwiklabs user, you can use your Qwiklabs credentials to log in (even though the URL is slightly different than what you’re used to seeing). You will find Google Cloud labs for all experience levels. Want to learn the basics? Try one of these introductory labs:
According to Glassdoor.com, the average Cloud Architect salary in the US is over $140,000. Are you strategizing your next career move? How do you prove you have what it takes to be a cloud architect, and set yourself (and your resume) apart?
Earning a certification is a smart way to fast-track your cloud career. Certifications help people and companies connect. And a Google Cloud certification puts you at the forefront of an accelerating industry.
Next-ers will see keynotes from industry leaders, including Diane Greene and Sundar Pichai of Google.
In addition to the keynotes, you’ll get access to over 200 technical, strategic, and hands-on sessions on topics such as breakthrough machine learning, advanced analytics, modern application development, and every-level privacy and security. Review the full agenda and customize your schedule.
Looking for insights on security, infrastructure, and enterprise migration? Get expert insights during sessions on topics such as:
Big day in the Hands-On Labs room – we are open, labs are hopping, and there’s a seat for you! 3808… 9… 10 labs served so far. We’re open today from 8 am till 4 pm. We’re closed for a couple of hours (for a Spotlight Lab session – did you sign up?) then we open our doors at 8:30 pm till midnight. Come be night owls with us! We’ll have snacks, beverages, prizes, and all the labs you can handle. Details here: http://reinvent.qwiklabs.com/.
Completing a Qwiklabs Quest and earning a badge is a huge accomplishment – and one you should be proud of. When you earn a badge, you demonstrate to the world that you mastered a skill set with Google Cloud Platform. Not only that, you have real, hands-on experience with Google Cloud Console. Whether you earn a badge on your own or your employer sponsors your Qwiklabs lab work, your badge is undeniably yours. You earned it!
By default, your badge is not public when you first earn it. You maintain total control of what information is shared, when, and how. You can post a link to your badge anywhere you want (online profiles like LinkedIn, Facebook, Twitter, etc.), you can send links to badges through email, and you can even copy/paste a link onto your resume. But first, you have to choose what information to share and make your badge public!
How to share your badge publicly
1. Log in to: https://www.google.qwiklabs.com2. Click on View Public Profile at the top right hand corner3. If you already have a public profile, you will see it on the Badges tab. If you do not have a public profile, click the Make Profile Public link:
4. You’ll be able to share your profile publicly:
Your public profile will always show:
1. Your First and Last name according to what you listed in your account2. Your photo if you have one (if you are uncomfortable sharing this, you don’t have to upload your photo)3. Number of labs taken4. Number of Quests completed5. And of course, your badges!
I shared my certification on LinkedIn and here’s what it looks like
There are a few different ways you can display your badges on your online profiles, and you can feel free to be creative with yours. I posted my Scientific Data Processing badge as a “Certification” on my LinkedIn profile. And here’s how it looks:
When you edit your LinkedIn profile, you can add different types of information to your profile. I tried both “Course” and “Certification” and it seems like the latter works best for your Qwiklabs badge.
On a resume, you can create a link to your badge, depending on the file format. It works pretty well for PDF, MS Word and HTML files.
Seriously looks like a great party, but even more seriously, take things into your own hands and get into NVIDIA technology, fast. Check out these live, hands-on labs and learn to program GPUs with C++, or Python, or Fortran, or MATLAB – any place, your pace. Check out labs on OpenACC and Deep Learning too (Intro to Deep Learning is free!).
What’s a Quest, you might ask? And why should I care? Each Quest consists of a collection of labs that focus on a specific area of GPU computing and practical use cases. At the end of a Quest, you get two things:
Advanced knowledge of that specific area of GPU computing
A shareable badge to show what you accomplished (looks great on your resume, social media profiles, and more!)
Why should I take the Deep Learning Quest? Deep learning is helping to solve big data problems such as computer vision (self-driving cars!), speech recognition, and language processing. NVIDIA provides high-performance tools and libraries to power these applications, and qwikLABS puts practical training, curated by experts, into your hands. Earn your Deep Learning Badge today!
As promised, here are a few snapshots of the conference. Have you checked out the self-paced labs yet?