On-demand activities
Find the right on-demand learning activities for you. Labs are short learning activities that teach you a specific lesson by giving you direct, temporary, hands-on access to real cloud resources. Courses are longer activities, consisting of several modules made of videos, documents, hands-on labs and quizzes. Finally, quests are similar, but are usually shorter and contain only labs.
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Atelier Sélection Optimize Costs for Google Kubernetes Engine: Challenge Lab
This lab offers a series of challenges that involve deploying, scaling, and maintaining a cluster application while optimizing resource usage.
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Atelier Sélection 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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Atelier Sélection 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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Atelier Sélection 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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Atelier Sélection Datastream: PostgreSQL Replication to BigQuery
In this lab you will replicate data from a PostgreSQL database to BigQuery.
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Atelier Sélection 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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Atelier Sélection 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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Atelier Sélection Multimodality with Gemini
This lab provides a variety of different use cases enabled by multimodality with Gemini Pro Vision.
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Atelier Sélection 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.