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 Store, Process, and Manage Data on Google Cloud: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Store, Process, and Manage Data on Google Cloud course. You should be familiar with the content of labs before attempting this lab.
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Lab Featured Creating and Populating a Bigtable Instance
In this lab, you create a Bigtable instance and table and then use a Dataflow template to populate the table from pre-generated data files on Cloud Storage.
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Lab Featured Importing Data to a Firestore Database
In this lab you will upload existing data (a CSV file) to a Firestore serverless database in the cloud.
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Lab Featured Design Conversational Flows for your Agent
Contact Center AI can increase customer satisfaction and operational efficiency by improving call deflection rates, and achieve shorter handling, while making overall operations faster and more effective. In this lab, you'll learn how to use Dialogflow to create a conversational interface.
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Lab Featured Gating Deployments with Binary Authorization
In this lab you will learn about the tools and techniques to secure deployed artifacts.
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Lab Featured Using Custom Fields in Looker Explores
In this lab, you will learn how to utilize custome fields in Looker Explores queries.
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Lab Featured Troubleshooting Data Models in Looker
In this lab, you learn how to troubleshoot and diagnose LookML code issues.
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Lab Featured Cloud Spanner - Loading Data and Performing Backups
In this lab, you explore various ways to load data into Cloud Spanner as well as perform a backup of your database.
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Lab Featured Caching and Datagroups with LookML
In this lab, you learn how caching works in Looker and explore how to use LookML objects called datagroups to define caching policies.
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Lab Featured ETL Processing on Google Cloud Using Dataflow and BigQuery (Python)
In this lab, you build several data pipelines that ingest and transform data from a publicly available dataset into BigQuery.