On-demand activities
כשתכננו את Google Cloud, חשבנו עליכם. קטלוג ההדרכה שלנו מכיל למעלה מ-980 פעילויות שונות ממגוון סוגים. תוכלו לבחור מבין שיעורי Lab קצרים ואישיים או קורסים עם מודולים מרובים שמכילים סרטונים, מסמכים, שיעורי Lab ובחנים. בשיעורי ה-Lab תקבלו פרטי כניסה זמניים למשאבים עצמם בענן, כדי שתוכלו לתרגל במו ידיכם את השימוש ב-Google Cloud. תקבלו גם תגים על השיעורים והקורסים שתסיימו, ותוכלו לעקוב אחרי ההתקדמות ולהגדיר מה מבחינתכם נחשב להצלחה ב-Google Cloud!
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Lab Featured 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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Lab Featured 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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Lab Featured Getting started with Webpack
In this hands-on lab, you will learn about the Webpack development.
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Lab Featured Deploy Secure Endpoints for Users with ChromeOS
In this lab, you'll set up ChromeOS device and users & browsers policies.
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Lab Featured 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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Lab Featured 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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Lab Featured 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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Lab Featured 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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Lab Featured Recover VMs with Google Backup and DR Service
Use SCC reports to diagnose and remediate security issues
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Lab Featured 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