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 HTTP Google Cloud Functions in Go
In this lab you'll build an HTTP Cloud Function in Go.
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Lab Featured Assessing Data Quality with Dataplex
This lab shows you how to assess data quality using Dataplex.
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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.
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Lab Featured Fraud Detection on Financial Transactions with Machine Learning on Google Cloud
Explore financial transactions data for fraud analysis, apply feature engineering and machine learning techniques to detect fraudulent activities using BigQuery ML.
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Lab Featured HTTP Load Balancer with Cloud Armor
Configure an HTTP Load Balancer with global backends, stress test the Load Balancer, and denylist the stress test IP with Cloud Armor.
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Lab Featured Dialogflow Logging and Monitoring in Operations Suite
In this lab you will learn how to use Dialogflow tools to troubleshoot your Virtual Agent.
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Lab Featured Configure Managed Guest Sessions and Deploy Digital Signage App on ChromeOS
Create OUs, set up managed guest session settings for different OUs, set up a kiosk app on ChromeOS and install a virtual desktop solution (Citrix workspace).
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Lab Featured Use Vertex AI Studio for Healthcare
In this lab, you will learn how to use Vertex AI Studio to create prompts and conversations with Gemini's multimodal capabilities in a healthcare context.
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Lab Featured Mitigate Bias with MinDiff in TensorFlow
This lab helps you learn how to mitigate bias using MinDiff technique by leveraging TensorFlow Model Remediation library.