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 Create and Manage Cloud Spanner Instances: Challenge Lab
In this challenge lab, you demonstrate your knowledge of Cloud Spanner that you learned from the Create and Manage Cloud Spanner Instances course.
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Lab Featured Optical Character Recognition (OCR) with Document AI (Python)
In this lab, you will learn how to perform Optical Character Recognition using the Document AI API with Python.
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Lab Featured Creating Spanner Instances and Databases (CLI and Terraform)
In this lab, you automate the creation of Spanner instances and databases using the Google Cloud SDK, the Command Line Interface (CLI), and Terraform.
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Lab Featured Managing Environments with Dialogflow CX
In this lab, you'll explore Managing Environments with Dialogflow.
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Lab Featured Google Kubernetes Engine Pipeline using Cloud Build
Create a CI/CD pipeline that automatically builds a container image, stores the image in Artifact Registry, updates a Kubernetes manifest in a Git repository, and deploys the application to Google Kubernetes Engine.
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Lab Featured Orchestrating the Cloud with Kubernetes
In this lab you will learn how to provision a complete Kubernetes cluster using Google Kubernetes Engine, deploy and manage Docker containers using kubectl, and break an application into microservices using Kubernetes' Deployments and Services.
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Lab Featured Creating a Looker Modeled Query and Working with Quick Start
In this lab you will learn how to use the query parameter to create a modeled query for an Explore.
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Lab Featured Using BigQuery in the Google Cloud Console
This lab shows you how to query public tables and load sample data into BigQuery using the GCP Console. Watch the following short video Get Meaningful Insights with Google BigQuery.
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Lab Featured Predict Visitor Purchases with a Classification Model in BigQuery ML
In this lab, you use an available ecommerce dataset to create a classification (logistic regression) model in BigQuery ML that predicts customers' purchasing habits.
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Lab Featured Cloud Functions: Qwik Start - Console
This hands-on lab shows you how to create and deploy a Cloud Function using the Cloud Platform Console. Watch the short video Connect & Extend GCP Services with Google Cloud Functions.