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 Pub/Sub: Qwik Start - Console
This hands-on lab shows you how to publish and consume messages with a pull subscriber, using the Cloud console. Watch the short video Simplify Event Driven Processing with Cloud Pub/Sub.
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Lab Featured App Dev: Setting up a Development Environment - Python
In this lab, you will provision a Google Compute Engine virtual machine and install software libraries for software development.
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Lab Featured APIs Explorer: Cloud Storage
In this lab you will use the APIs Explorer tool to create Cloud Storage buckets, upload data to the bucket, and remove content from buckets.
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Lab Featured Create and Manage AlloyDB Instances: Challenge Lab
This challenge lab tests your ability to create and manage AlloyDB instances and databases on Google Cloud.
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Lab Featured Summarize Text using SQL and LLMs in BigQuery ML
In this lab, you will explore how to perform summarization of source code from GitHub repos and identification of the language of programming in the repo, using Vertex AI Large Language Model (LLM) for text generation.
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Lab Featured Generative AI: ML Engineer Revision
Arcade chatbot lab to learn about the Professional ML Engineer
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Lab Featured Redacting Sensitive Data with Cloud Data Loss Prevention
In this lab, you inspect strings and files for sensitive data and then practice using the Cloud Data Loss Prevention (DLP) API to protect data.
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Lab Featured Build an AI Image Generator app using Imagen on Vertex AI
In this lab, you will learn how to use Google's Vertex AI SDK to interact with the pre-trained Image Generation AI model, enabling you to send text prompts to the AI model as an input for image generation and receive the image response generated by the AI model.
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Lab Featured Cloud Source Repositories: Qwik Start
In this lab you will create a local Git repository that contains files for a sample App Engine application, add a GCP repository as a remote, and push the contents of the local repository.