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 Use Dataproc Serverless for Spark to Load BigQuery
This hands-on lab shows you how to use Dataproc Serverless for Spark to load BigQuery.
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Lab Featured Generative AI with Vertex AI: Prompt Design
This lab is part of a series designed to provide hands-on experience with Generative AI on Google Cloud.
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Lab Featured Creating a Data Transformation Pipeline with Cloud Dataprep
Cloud Dataprep by Alteryx is an intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis. In this lab, you explore the Dataprep user interface (UI) to build a data transformation pipeline.
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Lab Featured Respond and recover from a data breach
Remediate a list of security issues based on a PCI compliance report
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Lab Featured Creating Tile-based Dashboard Alerts in Looker
In this lab, you learn how to create and modify tile-based dashboard alerts in Looker.
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Lab Featured Build and Configure an Integration using Application Integration
Learn the core concepts, functionalities, and best practices of Application Integration
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Lab Featured Detect and Investigate Threats with Security Command Center
In this lab, you receive hands-on practice with Security Command Center’s (SCC) threat detection features and learn how to investigate and triage common vulnerabilities associated with containers and virtual machines. You also learn how to surface and manage your findings with SCC’s Event Threat Detection and Secu…
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Lab Featured Programming Spanner Applications with Python
In this lab, you run the Python code to create Spanner instances and databases. You also see how to create, retrieve, and delete records from databases using both the Google Standard SQL and PostgreSQL dialects.
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Lab Featured Create Text Embeddings for a Vector Store using LangChain
In this lab, you learn how to use LangChain to store documents as embeddings in a vector store. You will use the LangChain framework to split a set of documents into chunks, vectorize (embed) each chunk and then store the embeddings in a vector database.