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 Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion
In this lab you’ll be working with Wrangler directives which are used by the Wrangler plugin, the “Swiss Army Knife” of plugins in the Data Fusion platform, so that your transformations are encapsulated in one place and we can group transformation tasks into manageable blocks.
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Atelier Sélection Automate GKE Configurations with Config Sync and Policy Controller
Use GitOps-driven Config Sync to automate configuration and Policy Controller to enforce policies on GKE Enterprise resources
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Atelier Sélection Getting started with Webpack
In this hands-on lab, you will learn about the Webpack development.
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Atelier Sélection Deploy Secure Endpoints for Users with ChromeOS
In this lab, you'll set up ChromeOS device and users & browsers policies.
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Atelier Sélection Creating Vertex AI Conversation Playbooks
In this codelab, you’ll learn about Vertex AI Conversational AI Playbooks. In a step by step process,you will be able to create a simple playbook based conversational bot.
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Atelier Sélection Cloud Composer: Qwik Start - Command Line
In this lab, you use Cloud Shell command line to create the Cloud Composer environment and set Composer environment variables. You then use Composer to run a workflow that verifies a data file, creates and runs an Apache Hadoop wordcount job on a Dataproc cluster, and deletes the cluster.
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Atelier Sélection Migrating Data to and from Spanner with Dataflow
In this lab, you use Dataflow and Apache Beam to migrate data into Spanner.
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Atelier Sélection Contact Center AI Insights
CCAI Insights provides contact center interaction data to answer business questions or support decisions to drive efficiency. It uses Google ML and Large Language Models to turn contact center data to insights to action. Based on the outcomes of the insights module various actions can be taken by contact center ma…
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Atelier Sélection Recover VMs with Google Backup and DR Service
Use SCC reports to diagnose and remediate security issues
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Atelier Sélection Getting Started with Neo4J Enterprise on Google Cloud
In this lab you will load data from a Google Cloud Storage Bucket to Neo4j then explore the data using the Neo4J browser and Cypher query language