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 Managing Deployments Using Kubernetes Engine
Dev Ops best practices make use of multiple deployments to manage application deployment scenarios. This lab provides practice in scaling and managing containers to accomplish common scenarios where multiple heterogeneous deployments are used.
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Lab Featured Implement CI/CD Pipelines on Google Cloud: Challenge Lab
This lab will challenge you to create a CI/CD pipeline, deploy an application to GKE, and rollback that deployment.
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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 Introduction to Function Calling with Gemini
In this lab, you learn how to use the Vertex AI Gemini API with the Vertex AI SDK for Python to make function calls via the Gemini Pro (gemini-pro) model.
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Lab Featured A Tour of Cloud Networking
This lab delivers an overview of the key cloud networking building blocks
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Lab Featured Monitoring and Logging for Cloud Functions
Use Cloud Monitoring to view Cloud Functions details in the Google Cloud console, and Cloud Logging to look at the data for your cloud function.
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Lab Featured Securing Compute Engine Applications and Resources using BeyondCorp Enterprise (BCE)
In this lab, you will learn how to secure a Compute Engine instance with Identity-Aware Proxy (IAP).
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Lab Featured Ingesting New Datasets into BigQuery
This lab focuses on how to ingest new datasets into tables inside of BigQuery.
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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 Deploy a BigQuery ML Customer Churn Classifier to Vertex AI for Online Predictions
In this lab, you will train, tune, evaluate, explain, and generate batch and online predictions with a BigQuery ML XGBoost model. You will use a Google Analytics 4 dataset from a real mobile application, Flood it!, to determine the likelihood of users returning to the application. You will generate batch predictio…