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 Analytics as a Service for Data Sharing Partners
In this lab you will learn how Authorized Views in BigQuery can be shared and consumed to create customer-specific dashboards.
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Lab Featured Enhancing User Interactivity in Looker with Liquid
In this lab you will use Liquid parameters and templated filters to enhance interactivity by users in Looker.
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Lab Featured Sending and Scheduling Dashboards in Looker
In this lab, you learn about the different options for sharing and scheduling dashboards in Looker.
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Lab Featured Deploying GKE Autopilot Clusters
Getting Started with Google Kubernetes Engine: Creating a GKE Autopilot Cluster via Google Cloud Console
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Lab Featured Creating Tile-based Dashboard Alerts in Looker
In this lab, you learn how to create and modify tile-based dashboard alerts in Looker.
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Lab Featured Build an End-to-End Data Capture Pipeline using Document AI
Use Cloud Functions and Pub/Sub to create an end-to-end document processing pipeline using Document AI.
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Lab Featured Sending and Scheduling Looks in Looker
In this lab, you learn about the different options for sharing Looks in Looker.
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Lab Featured Continuous Delivery with Jenkins in Kubernetes Engine
In this lab you will deploy and completely configure a continuous delivery pipeline using Jenkins running on Kubernetes Engine and go through the dev - deploy process.
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Lab Featured Running Queries and Transactions
In this lab, you learn how to run parameterized queries, create and use indexes, and execute transactions against a Spanner database.
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Lab Featured Develop GenAI Apps with Gemini and Streamlit: Challenge Lab
In this challenge lab, you will act as an Application Developer and/or DevOps Engineer for a Healthy Living oriented company. The company hires you to build, test and deploy a proof of concept for an AI-based chef application built on the Gemini pro model, Streamlit framework and Cloud Run.