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 Automatically Deploy Python Web Apps from Version Control to Cloud Run
Learn how to automatically deploy your changes from version control to Cloud Run
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Lab Featured Block.one: Getting Started with The EOSIO Blockchain
In this lab, you create a virtual machine (VM) to host an EOSIO blockchain.
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Lab Featured Data Analysis with the FraudFinder Workshop
FraudFinder is a series of JupyterLabs that show how to implement an end-to-end Data to AI architecture works on Google Cloud, through a toy use case of real-time fraud detection system.
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Lab Featured Implement the User Experience for your AppSheet App
In this lab, you will use AppSheet to implement the UX components in your app.
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Lab Featured Omnibond: Creating an HPC Environment in Google Cloud with CloudyCluster
In this lab, you create a complete turn-key High Performance Computing (HPC) environment in Google Cloud.
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Lab Featured Scaling Microservices Applications: Migration to Redis Enterprise on Google Cloud
In this lab, you will deploy a fully functioning microservices e-Commerce website application on Google Cloud using Redis to run the shopping cart service and then migrate that to Redis Enterprise for scalability and high availability.
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Lab Featured Build and Execute MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors
In this lab you will explore existing datasets with Data Catalog and mine the table and column metadata for insights.
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Lab Featured Configuring IAM Permissions with gcloud
In this lab, you use the gcloud CLI tool to set up and configure command features of Cloud Identity and Access Management.
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Lab Featured Exploring NCAA Data with BigQuery
Use BigQuery to explore the NCAA dataset of basketball games, teams, and players. The data covers plays from 2009 and scores from 1996. Watch How the NCAA is using Google Cloud to tap into decades of sports data.
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Lab Featured Integrate Search in Applications using Vertex AI Agent Builder
This lab is part of a series designed to provide hands-on experience with Generative AI on Google Cloud.