Discover Google Cloud training your way
With 980+ learning activities to choose from, Google Cloud has designed our comprehensive catalog with you in mind. The catalog consists of a variety of activity formats for you to pick from. Choose from bite-size individual labs or multi-module courses that consist of videos, documents, labs, and quizzes. Our labs give you temporary credentials to actual cloud resources, so you can learn Google Cloud using the real thing. Earn badges for what you complete, define, track, and measure your success with Google Cloud!
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Lab Featured Loading Data into Cloud SQL
In this lab, you import data from CSV text files into Cloud SQL and then carry out some basic data analysis using simple queries.
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Lab Featured Form Parsing with Document AI (Python)
In this lab, you will learn how to use the Document AI Form Parser to parse a handwritten form with Python.
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Lab Featured Arcade Hero: Enter the Artifact Registry Maven
Arcade Hero: Artifact Registry Level One
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Lab Featured Cloud Scheduler: Qwik Start
In this lab you'll create a recurring Cloud Scheduler job that specifies a Pub/Sub topic as the job target.
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Lab Featured Understanding and Analyzing Your Costs with Google Cloud Billing Reports
In this lab, you familiarize yourself with Google Cloud Billing reports, which provides built-in cost reporting for Google Cloud within the Google Cloud Console. You view Billing reports from a live billing account, understand current and forecasted Google Cloud costs, and then analyze costs using report filters t…
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Lab Featured Network Tiers - Optimizing Network Spend
In this lab, you create one VM in the premium network service tier (default) and one VM in the standard network service tier. Then you compare the latency and routes for each VM instance.
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Lab Featured Getting Started with BigQuery ML
In this lab, you learn how to use BigQuery to create a machine learning model that predicts whether a visitor will make a transaction.
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Lab Featured It Speaks! Create Synthetic Speech Using Text-to-Speech
In this lab, you create a series of audio files using the Text-to-Speech API, then listen to them to compare the differences.