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.
1073 results
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Lab Featured Scaling Microservices Applications: Migration to Redis Enterprise on Google Cloud
In this lab, you will deploy a fully functioning microservices e-Commerce website application on Google Cloud using Redis to run the shopping cart service and then migrate that to Redis Enterprise for scalability and high availability.
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Lab Featured Build a Website on Google Cloud: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Building Websites on Google Cloud course. You should be familiar with the content of these labs before attempting this lab.
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Lab Featured Pub/Sub: Qwik Start - Python
In this lab, you learn about Pub/Sub and how to create a topic and subscriber with a Python script, and then publish and view messages. Watch the short video Simplify Event Driven Processing with Cloud Pub/Sub.
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Lab Featured Deploying an Open Source Cassandra™ Database using the GCP Marketplace
In this lab you will deploy an Apache Cassandra™ database using using the GCP marketplace. You will connect to the database using CQL Shell and run some simple DDL commands to create a table, load some data and query it.
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Lab Featured Cloud Scheduler: Qwik Start
In this lab you'll create a recurring Cloud Scheduler job that specifies a Pub/Sub topic as the job target.
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Lab Featured Deploy and Test a Visual Inspection AI Cosmetic Anomaly Detection Solution
In this lab, you learn how to deploy and test a Visual Inspection AI Cosmetic Anomaly Detection solution.
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Lab Featured Form Parsing with Document AI (Python)
In this lab, you will learn how to use the Document AI Form Parser to parse a handwritten form with Python.
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Lab Featured Exploring NCAA Data with BigQuery
Use BigQuery to explore the NCAA dataset of basketball games, teams, and players. The data covers plays from 2009 and scores from 1996. Watch How the NCAA is using Google Cloud to tap into decades of sports data.
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Lab Featured Safeguarding with Vertex AI Gemini API
In this lab, you learn how to inspect the safety ratings returned from the Vertex AI Gemini API and how to set a safety threshold to filter responses.