On-Demand-Aktivitäten
Hier finden Sie die für Sie richtigen On-Demand-Lernaktivitäten. Labs sind kurze Lernaktivitäten, in denen Ihnen über einen direkten, temporären, praxisorientierten Zugriff auf echte Cloud-Ressourcen spezifische Inhalte vermittelt werden. Kurse sind längere Aktivitäten, die aus mehreren Modulen mit Videos, Dokumenten, praxisorientierten Labs und Quizaufgaben bestehen. Aufgabenreihen sind ähnlich, aber in der Regel kürzer und enthalten nur Labs.
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Lab Tipp Hosting a Web App on Google Cloud Using Compute Engine - Azure
In this lab, you will deploy and scale a Web App on Google Compute Engine.
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Lab Tipp Monitoring in Google Cloud: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Monitoring in Google Cloud quest. You should be familiar with the content of labs before attempting this lab.
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Lab Tipp Vertex AI Tabular Data: Qwik Start
In this lab, you will learn how to build a binary classification model from tabular data using Vertex AI.
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Lab Tipp Berichte mit Looker Studio erstellen und analysieren
In diesem Lab erfahren Sie, wie Sie Looker Studio mit Datentabellen in Google BigQuery verknüpfen und Diagramme erstellen. Zusätzlich lernen Sie die Beziehungen zwischen Dimensionen und Messwerten kennen.
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Lab Tipp Store, Process, and Manage Data on Google Cloud: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Store, Process, and Manage Data on Google Cloud course. You should be familiar with the content of labs before attempting this lab.
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Lab Tipp Cloud DNS - Traffic Steering using Geolocation Policy
In this lab you will configure and test the Geolocation routing policy.
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Lab Tipp Identify Application Vulnerabilities with Security Command Center
In this lab, you will use Web Security Scanner—one of Security Command Center's built-in services—to scan a Python Flask application for vulnerabilities.
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Lab Tipp 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 Tipp 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 Tipp 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.