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 Generative AI: Database Engineer Revision
Arcade chatbot lab to learn about the Professional Database Engineer
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Lab Featured Perform Predictive Data Analysis in BigQuery: Challenge Lab
This challenge lab tests the skills and knowledge gained from the labs in the Perform Predictive Data Analysis in BigQuery skill badge course.
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Lab Featured Setting Up Cost Control with Quota
In this lab you will query a large dataset, update the BigQuery API quota, and then optimize your query to run within quota.
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Lab Featured Cloud Natural Language API: Qwik Start
The Cloud Natural Language API lets you extract entities and perform sentiment and syntactic analysis on text. Watch these short videos Gain Valuable Insights from Text with Cloud Natural Language and Cloud Natural Language: Qwik Start - Qwiklabs Preview.
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Lab Featured Deploy, Scale, and Update Your Website on Google Kubernetes Engine
Deploy a website to Google Kubernetes Engine, scale it out to more instances, and deploy a new version using Rolling Updates.
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Lab Featured Generative AI: Associate Cloud Engineer Revision
Arcade chatbot lab to learn about the Associate Cloud Engineer
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Lab Featured Visualizing Billing Data with Looker Studio
In this lab, you will harness the power of Looker Studio, where you will learn how to build billing graphs and charts so you can slice and dice your Google Cloud bill the way you want.
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Lab Featured Summarize Text using SQL and LLMs in BigQuery ML
In this lab, you will explore how to perform summarization of source code from GitHub repos and identification of the language of programming in the repo, using Vertex AI Large Language Model (LLM) for text generation.