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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Lab Featured Deploy a Streamlit App Integrated with Gemini Pro on Cloud Run
In this lab, you will learn how to deploy a Streamlit app integrated with Gemini Pro on Cloud Run.
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Lab Featured Introduction to Computer Vision with TensorFlow
In this lab you create a computer vision model that can recognize items of clothing and then explore what affects the training model.
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Lab Featured Modularizing LookML Code with Extends
In this lab, you learn how to modularize LookML code with Extends.
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Lab Featured App Dev: Storing Application Data in Cloud Datastore - Python
In this lab, you will review the case study application, an online Quiz. You will store application data for the Quiz application in Cloud Datastore.
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Lab Featured Google AppSheet: Getting Started
Learn how to use Google AppSheet to enable everyone in your organization to build and extend applications without coding.
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Lab Featured Integrate BigQuery Data and Google Workspace using Apps Script: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Integrate BigQuery Data and Google Workspace using Apps Script quests. You should be familiar with the content of labs before attempting this lab.
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Lab Featured Log Analytics on Google Cloud
In this lab you will learn how to use Cloud Logging to analyze your logs.
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Lab Featured Google Cloud Packet Mirroring with OpenSource IDS
This lab demonstrates a common enterprise use case for Google Cloud's Packet Mirroring in conjunction with an Open Source Intrusion Detection System.
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Lab Featured Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Cloud Service Mesh
In this lab you will install the Cloud Service Mesh, and deploy a resnet model, all on a GKE cluster.