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 Differential Privacy in Machine Learning with TensorFlow Privacy
In this lab, you learn how to use differential privacy in machine learning using TensorFlow Privacy.
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Lab Featured Serverless Data Processing with Dataflow - Advanced Streaming Analytics Pipeline with Dataflow (Java)
In this lab you read deal with late and malformed streaming data using advanced Apache Beam concepts.
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Lab Featured Automatically Deploy Python Web Apps from Version Control to Cloud Run
Learn how to automatically deploy your changes from version control to Cloud Run
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Lab Featured Develop an App with Vertex AI Gemini 1.0 Pro
In this lab, you develop an app using the Streamlit framework with Vertex AI's Gemini API, and deploy the app to Cloud Run.
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Lab Featured Multimodality with Gemini
This lab provides a variety of different use cases enabled by multimodality with Gemini Pro Vision.
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Lab Featured Implement DevOps Workflows in Google Cloud: Challenge Lab
This challenge labs tests your skills in implementing a CI/CD pipeline using Cloud Build, Cloud Source Repositories, and GKE.
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Lab Featured Using OpenTSDB to Monitor Time-Series Data on Cloud Platform
In this lab you will learn how to collect, record, and monitor time-series data on Google Cloud Platform (GCP) using OpenTSDB running on Google Kubernetes Engine and Google Cloud Bigtable.
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Lab Featured Fraud Detection on Financial Transactions with Machine Learning on Google Cloud
Explore financial transactions data for fraud analysis, apply feature engineering and machine learning techniques to detect fraudulent activities using BigQuery ML.
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Lab Featured Datastream: PostgreSQL Replication to BigQuery
In this lab you will replicate data from a PostgreSQL database to BigQuery.
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Lab Featured Set up a SIEM forwarder on a Linux Instance
Install and configure a SIEM forwarder on a Linux host, then send sample logs using a file collector and observe the ingested logs in a live Chronicle environment.