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.
702 results
-
Lab Featured App Engine: Qwik Start - Go
This hands-on lab shows you how to create a small App Engine application that displays a short message. Watch the short video Build Apps at Scale with Google App Engine.
-
Lab Featured Loading Data into Cloud SQL
In this lab, you import data from CSV text files into Cloud SQL and then carry out some basic data analysis using simple queries.
-
Lab Featured Arcade Hero: Enter the Artifact Registry Maven
Arcade Hero: Artifact Registry Level One
-
Lab Featured Translate Text with the Cloud Translation API
Cloud Translation translates an arbitrary string into any supported language. In this hands-on lab, you use the Cloud Translation API to detect the language of a text, and then translate the text.
-
Lab Featured Explore flat and nested data types in BigQuery
Explore flat and nested data types in BigQuery and learn how to use these data types effectively in queries
-
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.
-
Lab Featured Introduction to Convolutions with TensorFlow
A convolution is a filter that passes over an image, processes it, and extracts features that show a commonality in the image. In this lab you'll see how they work, and try processing an image to extract features from it!
-
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.