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 Cloud Operations for GKE
In this lab you will set up Monitoring and visualizing metrics from a Kubernetes Engine cluster
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Lab Featured Getting started with the Vertex AI Gemini 1.5 Pro Model
This lab will provide an introductory, hands-on experience with Generative AI on Google Cloud.
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Lab Featured Optimizing Applications Using Cloud Profiler
In this lab, you will learn how to use the Cloud Operations Tracing and Profiler tools to diagnose and correct application latencies.
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Lab Featured Dataflow: Qwik Start - Python
In this lab, you set up your Python development environment for Dataflow (using the Apache Beam SDK for Python) and run an example Dataflow pipeline.
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Lab Featured APIs Explorer: Compute Engine
Use the APIs Explorer to create a Compute Engine instance, then use Cloud monitoring to monitor the CPU usage.
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Lab Featured Omnibond: Creating an HPC Environment in Google Cloud with CloudyCluster
In this lab, you create a complete turn-key High Performance Computing (HPC) environment in Google Cloud.
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Lab Featured Derive Insights from BigQuery Data: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Derive Insights from BigQuery Data skill badge. You should be familiar with the content of the labs before attempting this lab.
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Lab Featured Visualizing Data with Looker Studio
This lab demonstrates how to use Looker Studio to visualize data stored in Google BigQuery.
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Lab Featured Confluent: Clickstream Data Analysis Pipeline Using ksqlDB
This lab will cover how to create a clickstream data analysis pipeline using ksqlDB.
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Lab Featured Validate Data in Google Sheets
Ensure that your data is valid and prepared for analysis using Google Sheets features and functions to organize, standardize, and clean data.