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 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.
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Lab Featured App Engine: Qwik Start - Python
This hands-on lab shows you how to create a small App Engine application that displays a short message. Watch the short video Build Apps at Scale with Google App Engine.
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Lab Featured Build Custom Processors with Document AI: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Build Custom Processors with Document AI course. You should be familiar with the content of the labs before attempting this lab.
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Lab Featured Hello Node Kubernetes
In this hands-on lab, you turn your code into a replicated application running on Kubernetes. You create a Node.js app, create a Docker container from it, deploy it to Kubernetes Engine, and scale it up. Watch a short preview Hello Node Kubernetes, GCP Essentials.
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Lab Featured Getting Started with the Vertex AI Gemini API with cURL
In this lab, you will learn how to use the Vertex AI Gemini API with cURL commands to interact with the Gemini models.
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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 Using BigQuery and Cloud Logging to Analyze BigQuery Usage
In this lab you view the BigQuery logs inside Cloud Logging, set up a sink to export them back into BigQuery, and then use SQL to analyze the logs.
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Lab Featured Using NAT for Apigee X Backend Services
In this lab, you enable a NAT IP address for the runtime instance. This static IP address is used when calling from Apigee X to backend services.