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 De-identifying DICOM Data with the Healthcare API
Use the de-identification functionality of Cloud Healthcare API with the Digital Imaging and Communications in Medicine (DICOM) data model.
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Lab Featured Introduction to Function Calling with Gemini
In this lab, you learn how to use the Vertex AI Gemini API with the Vertex AI SDK for Python to make function calls via the Gemini Pro (gemini-pro) model.
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Lab Featured Using BigQuery and Cloud Logging to Analyze BigQuery Usage
In this lab you view the BigQuery logs inside Cloud Logging, set up a sink to export them back into BigQuery, and then use SQL to analyze the logs.
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Lab Featured Monitoring and Logging for Cloud Functions
Use Cloud Monitoring to view Cloud Functions details in the Google Cloud console, and Cloud Logging to look at the data for your cloud function.
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Lab Featured A Tour of Cloud Networking
This lab delivers an overview of the key cloud networking building blocks
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Lab Featured Ingesting New Datasets into BigQuery
This lab focuses on how to ingest new datasets into tables inside of BigQuery.
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Lab Featured Managing Environments with Dialogflow CX
In this lab, you'll explore Managing Environments with Dialogflow.
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Lab Featured App Engine: Qwik Start - Python
This hands-on lab shows you how to create a small App Engine application that displays a short message. Watch the short video Build Apps at Scale with Google App Engine.
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Lab Featured Setting up a Private Kubernetes Cluster
Hands-on lab for creating a private cluster in the cloud environment. In a private cluster, nodes do not have public IP addresses, so your workloads run in an environment that is isolated from the Internet. Prerequisites: Experience with Kubernetes Clusters, and CIDR-range IP address.
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Lab Featured Deploy a BigQuery ML Customer Churn Classifier to Vertex AI for Online Predictions
In this lab, you will train, tune, evaluate, explain, and generate batch and online predictions with a BigQuery ML XGBoost model. You will use a Google Analytics 4 dataset from a real mobile application, Flood it!, to determine the likelihood of users returning to the application. You will generate batch predictio…