Fun fact: GCP services can make your life easier! Got problems to solve? GCP can help you with data analytics, machine learning, networking, computing, storage, and more.
The cloud is a big place. Get started qwikly (and economically) with hands-on training. Take any of the labs below by October 3rd, and you’ll get 25 Qwiklabs credits (free of charge, no CC required)!
1: Watch Priyanka as she shows you how to use labs for hands-on Practice with Google Cloud. She introduces you to the GCP environment, quests and lab manuals.
2: Take A Tour of Qwiklabs and the Google Cloud Platform lab to get familiar with GCP, the console and Qwiklabs lab environment. Here’s how to start a lab:
The tour walks you through every step of taking a lab. You explore tools you will use when you take labs, like the Cloud APIs & Services Library:
We’ll test your knowledge throughout the lab with milestones to help you understand key concepts:
Plus you’ll see activity tacking on the right hand side of each lab. Every milestone you reach in the lab earns you points. Get 20/20 to score 100% on the lab!
3. You’ll notice many labs teach you how to solve advanced use cases with APIs (like the Machine Learning APIs quest). Set yourself up for success with the APIs Explorer: Qwik Start lab to learn the basics. And of course, you can use a photo of a good dog!
4. SQL is another skill you’ll exercise in many labs. Don’t have much SQL experience? No problem. Start with the Introduction to SQL for BigQuery and Cloud SQL lab, and you’ll learn how to run SQL queries in the BigQuery console on a public dataset. This lab helps you understand the basics of running SQL queries in the Google Cloud.
For example, you’ll run this query:
…to see users in this example_table:
5. Have favorite labs? them and they’ll be saved to your Learning page so that you can pick up where you left off:
Why wait? Take any of the labs and you’ll get 25 Qwiklabs credits (free of charge, no CC required). Set yourself up for success by taking the tour, and you’ll be prepared to take on your next challenge, like exploring TensorFlow and Cloud Datalab: