On-demand activities
Find the right on-demand learning activities for you. Labs are short learning activities that teach you a specific lesson by giving you direct, temporary, hands-on access to real cloud resources. Courses are longer activities, consisting of several modules made of videos, documents, hands-on labs and quizzes. Finally, quests are similar, but are usually shorter and contain only labs.
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Lab Featured 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 Featured 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 Featured 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 Featured Explore and Create Reports with Looker Studio
In this lab, you learn how to connect Looker Studio to Google BigQuery data tables, create charts, and explore the relationships between dimensions and measures.
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Lab Featured 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 Featured Cloud DNS - Traffic Steering using Geolocation Policy
In this lab you will configure and test the Geolocation routing policy.
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Lab Featured 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 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.