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 Process Documents with Python Using the Document AI API
Use the Document AI API with Python to create various processors, including a general form processor and a Document OCR processor, then make synchronous and asynchronous calls to the API using Python.
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Lab Featured Design Conversational Flows for your Agent
Contact Center AI can increase customer satisfaction and operational efficiency by improving call deflection rates, and achieve shorter handling, while making overall operations faster and more effective. In this lab, you'll learn how to use Dialogflow to create a conversational interface.
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Lab Featured Creating and Populating a Bigtable Instance
In this lab, you create a Bigtable instance and table and then use a Dataflow template to populate the table from pre-generated data files on Cloud Storage.
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Lab Featured Gating Deployments with Binary Authorization
In this lab you will learn about the tools and techniques to secure deployed artifacts.
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Lab Featured Using Custom Fields in Looker Explores
In this lab, you will learn how to utilize custome fields in Looker Explores queries.
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Lab Featured Deploy a Compute Instance with a Remote Startup Script: Challenge Lab
Configure a Linux Google Compute Engine instance that installs an Apache web server software using a remote startup script, then confirm that Apache has successfully installed.
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Lab Featured Cloud Spanner - Loading Data and Performing Backups
In this lab, you explore various ways to load data into Cloud Spanner as well as perform a backup of your database.
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Lab Featured Caching and Datagroups with LookML
In this lab, you learn how caching works in Looker and explore how to use LookML objects called datagroups to define caching policies.
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Lab Featured Troubleshooting Data Models in Looker
In this lab, you learn how to troubleshoot and diagnose LookML code issues.