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 Managing a GKE Multi-tenant Cluster with Namespaces
This lab explores best practices in managing and monitoring a multi-tenant cluster in order to optimize your costs.
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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 VM Migration: Planning
This lab provides a high level overview of the Google Cloud Adoption Framework and then deep dives into how to automate environment setup and deployments on GCP.
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Atelier Sélection Deploying GKE Autopilot Clusters
Getting Started with Google Kubernetes Engine: Creating a GKE Autopilot Cluster via Google Cloud Console
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Atelier Sélection Use Go Code to Work with Google Cloud Data Sources
In this lab you explore the basics of Go (golang) by compiling and testing a Go app interactively, deploying it to App Engine, then access data in BigQuery and Firestore.
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Atelier Sélection Explore SAP Data Foundation using Looker Dashboards
Visualize the Google Cloud Cortex Data Foundation for SAP by viewing reports pre-installed in a Looker instance
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Atelier Sélection Understand, Explore, and Visualize a Time Series Dataset
In this lab you will learn how to load, explore, visualize, and pre-process a time-series dataset.
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Atelier Sélection App Engine: Qwik Start - Java
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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Atelier Sélection Create ML Models with BigQuery ML: Challenge Lab
This challenge lab tests your skills in developing and using machine learning models using BigQuery.