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 Get Started with Google Workspace Tools: Challenge Lab
In this lab you will configure your Workspace as a group member.
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Lab Featured Using BigQuery and Cloud Logging to Analyze BigQuery Usage
In this lab you view the BigQuery logs inside Cloud Logging, set up a sink to export them back into BigQuery, and then use SQL to analyze the logs.
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Lab Featured Introduction to Function Calling with Gemini
In this lab, you learn how to use the Vertex AI Gemini API with the Vertex AI SDK for Python to make function calls via the Gemini Pro (gemini-pro) model.
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Lab Featured A Tour of Cloud Networking
This lab delivers an overview of the key cloud networking building blocks
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Lab Featured App Engine: Qwik Start - Python
This hands-on lab shows you how to create a small App Engine application that displays a short message. Watch the short video Build Apps at Scale with Google App Engine.
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Lab Featured Deploying a Multi-Cluster Gateway Across GKE Clusters
Learn how to enable, use, and deploy the multi-cluster Google Kubernetes Engine (GKE) Gateway controller
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Lab Featured Setting up a Private Kubernetes Cluster
Hands-on lab for creating a private cluster in the cloud environment. In a private cluster, nodes do not have public IP addresses, so your workloads run in an environment that is isolated from the Internet. Prerequisites: Experience with Kubernetes Clusters, and CIDR-range IP address.
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Lab Featured Ingesting New Datasets into BigQuery
This lab focuses on how to ingest new datasets into tables inside of BigQuery.
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Lab Featured Identify different batch and streaming data sources
Differentiate between batch and streaming data sources, formats, and frequency
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Lab Featured APIs Explorer: Create and Update a Cluster
In this lab you’ll learn how to use an inline Google APIs Explorer template to call the Cloud Dataproc API to create a cluster, run a simple Spark job in the cluster, and update the cluster.