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 Analyze and activate your data with Looker Enterprise
Capstone Data Analyst Challenge Lab 2
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Lab Featured Redacting Confidential Data within your Pipelines in Cloud Data Fusion
In this lab you wil learn how to use the Cloud Data Fusion plugin for Cloud DLP to redact sensitive data.
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Lab Featured Cloud Composer: Copying BigQuery Tables Across Different Locations
In this lab, you create and run an Apache Airflow workflow in Cloud Composer to export tables from a BigQuery dataset located in Cloud Storage buckets in the US to buckets in Europe, and then import those tables to a BigQuery dataset in Europe.
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Lab Featured Exploring the Lineage of Data with Cloud Data Fusion
This lab shows how to use Cloud Data Fusion to explore data lineage - the data's origins and its movement over time.
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Lab Featured Implement Load Balancing on Compute Engine: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Implement Load Balancing on Compute Engine skill badge. You should be familiar with the content of the labs before attempting this lab.
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Lab Featured Rent-a-VM to Process Earthquake Data
In this lab you spin up a virtual machine, configure its security, access it remotely, and then carry out the steps of an ingest-transform-and-publish data pipeline manually. This lab is part of a series of labs on processing scientific data.
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Lab Featured Build a Knowledge Based System with Vertex AI Vector Search, LangChain and Gemini
In this lab, you use Vertex AI Vector Search to index documents and create a knowledge base. The knowledge base is utilized to retrieve relevant search results to supply with a query submitted to a large language model (LLM), in this case, Gemini, as context. This technique is known as retrieval augmentation gener…
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Lab Featured Getting Started with Cloud Data Fusion
In this lab you will learn how to create a Data Fusion instance and deploy a sample pipeline
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Lab Featured Build Apps with Gemini Code Assist
In this lab, you'll develop an app using assistance from Gemini within an IDE.
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Lab Featured Online Data Migration to Cloud Spanner using Striim
In this lab you will learn how to migrate a Cloud SQL for MySQL database to Cloud Spanner using Google Cloud's data migration partner, Striim.