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 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.
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Lab Featured Getting started with Firebase Web
In this hands-on lab, you will learn about the Firebase product suite with Web.
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Lab Featured Getting Started with BigQuery GIS for Data Analysts
BigQuery GIS allows you to easily analyze and visualize geospatial data in BigQuery.
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Lab Featured Prepare Data for Looker Dashboards and Reports: Challenge Lab
In this challenge lab, you test your skills in filtering, pivoting, calculating, and merging data to build Looker dashboards and reports.
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Lab Featured Classify Images with TensorFlow on Google Cloud: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Classify Images with TensorFlow on Google Cloud course. You should be familiar with the content of these labs before attempting this lab.
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Lab Featured Scanning User-generated Content Using the Cloud Video Intelligence and Cloud Vision APIs
This lab will show you how to deploy a set of Cloud Functions in order to process images and videos with the Cloud Vision API and Cloud Video Intelligence API.
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Lab Featured Build a Serverless Web App with Firebase
In this lab you will create a serverless web app with Firebase, which allows users to upload information and make appointments with the fictional Pet Theory clinic.
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Lab Featured Vertex AI: Training and Serving a Custom Model
In this lab, you will use Vertex AI to train and serve a TensorFlow model using code in a custom container.
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Lab Featured Set up a SIEM forwarder on a Linux Instance
Install and configure a SIEM forwarder on a Linux host, then send sample logs using a file collector and observe the ingested logs in a live Chronicle environment.