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 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 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 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 Getting Started with the Vertex AI Gemini API and Python SDK
In this lab, you will learn how to use the Vertex AI SDK for Python to call the Vertex AI Gemini API.
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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.
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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 Monitoring in Google Cloud: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Monitoring in Google Cloud quest. You should be familiar with the content of labs before attempting this lab.
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Lab Featured De-identifying DICOM Data with the Healthcare API
Use the de-identification functionality of Cloud Healthcare API with the Digital Imaging and Communications in Medicine (DICOM) data model.
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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.