Good news: our lab catalog is growing, which means even more cloud training for you. A lab is the best way to get hands-on experience with a new service or feature, whether you are curious about Google Cloud identity management or if you want to use Kubernetes for your next project.
We added 40+ new labs to our catalog this week, and watch for more new labs coming soon! See the new Google Cloud labs here.
Qwiklabs lab catalog growth over time.
Meet some of the new labs!
Deploy a Python Flask web application to the App Engine Flexible environment. The app wires up Google Cloud APIs for Vision, Storage, and Datastore to analyze a photo of a face. What mood is your selfie?
Got compute intensive jobs? Consider using Apache Beam on Cloud Dataflow to scale out your workloads. In this lab, learn to process Landsat data in a distributed manner using Apache Beam and Cloud Dataflow.
Run your Windows workloads on GCP. This lab teaches you how to create a virtual machine with Microsoft SQL Server installed. You’ll also create a Windows user and password, and learn how to connect to the Windows Server via remote desktop.
And check out the new badges you can earn!
Easily search for topics that interest you.
And you’ll notice the new labs give you Google Cloud experience! You can filter by cloud, here:
With all the new labs (and more on the way), you may want to consider becoming an Advantage subscriber. As a subscriber, you get unlimited access to the entire lab catalog, including new labs the instant they are published. We promise to keep you interested with new labs and quests! But you can cancel your subscription any time you like.
What’s your #nextQwiklab going to be?
Developers, learn how Google Cloud Platform (GCP) can make your life easier with the latest online training from Qwiklabs. Enroll in the Developing Applications Quest and practice building and deploying apps on the Google Cloud Platform. This 7-lab Quest walks you through build and deploy scenarios using Node.js, Ruby, Python, and even ASP.Net Core Frameworks. When you complete the labs, you can use what you learned to run your own apps on GCP. And you can add the Developing Applications badge to your resume – a credential that confirms your “flight time” with the GCP Console.
Here’s some of what you’ll do:
Complete this Quest and use what you learned to use GCP for your next project. And don’t forget to take advantage of GCP’s free offerings to get you started qwikly!
Where are you headed for Summer vacation? You might pack your flip flops and head to the beach, or you might dig your boots out of the closet and explore a new hiking route. Qwiklabs is dreaming of out-of-office experiences too, with a brand new Scientific Data Processing Quest full of labs designed to transport you from your desk, to the coast, to NYC, even to the tropics. There’s room for Google Cloud training in your carry-on!
The Scientific Data Processing Quest walks you through using the Google Cloud Platform (GCP) to tackle complex data analyses, with minimal IT know-how (and minimal cost!). Think training a machine learning model is outside your skillset? It’s not! There are 7 labs in this Quest and each one walks you through using basic GCP tools to process huge datasets, and return fascinating results.
Here’s some of what you’ll do:
Use Google Cloud Dataflow to build a monthly vegetation growth index based on Landsat images. You’ll learn to use Google Cloud Dataflow, a framework that automatically distributes work to many machines. You will work with an agriculture use case, but you can apply your new skills across industries. Virtually trek through Reunion Island while you’re at it. (link to Lak’s post from Nov)
An image classifier consists of two parts: a feature extraction part that is many layers deep and a classifier part that is quite simple. In transfer learning, when you build a new model to classify your dataset, you reuse the feature extraction part from an already trained image classifier and re-train the classification part with your dataset. Since you don’t have to train the feature extraction part (which is the most complex part of the model), you can train the model far more quickly with fewer images and less computational resources.
– Lak Lakshmanan, Tech Lead, Data and ML Professional Services, Google Cloud
Don’t forget sunscreen!
Tweet @lak_gcp, the craftsman who built these labs, when you’re done and let us know what you think. Happy lab-taking!
If you have taken a lab lately, you’ll notice new stuff in Qwiklabs. Here’s what’s new:
Get to your labs faster with the new navigation menu at the top-left of your screen.
My Learning is your record of all the labs you’ve taken and all of the Quests you’ve begun (and completed!)
Your public profile is accessible here (only if you have enabled your profile – you don’t have to if you don’t want to!):
How many credits do you have left? Check here for your credit count and keep track of your share groups. (Click your user pic at the top right, then My Account.)
Notice that your credits are expiring? Don’t let them go to waste! Share them with friends and coworkers.
Log in, take a lab, and see what you think!
Next ‘17 is the most influential cloud event of the year, and it’s only 21 days away. Get up close and personal with Google cloud. Qwiklabs will be there – hope you can make it too!
Click here to register.
What do you want to get out of Next ‘17?
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:
Looking for something more developer-focused? You’ll find that too:
Next ’17 is a unique opportunity to network with your peers and thought leaders. This singular event brings experts and enthusiasts together to build the future of cloud.
Register now. See you there!
How do you learn new skills? Do you read manuals? Watch videos? Listen to experts? Do you learn best by spending time in a “sandbox”? Or do you prefer getting tossed into the deep end with no floats?
At Qwiklabs, we are passionate about hands-on learning. And we have something new for those of you who learn best jumping into the deep water of AWS environment setup and troubleshooting: the Challenge Lab.