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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1044 results

  1. 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.

  2. 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

  3. Lab Featured

    A Tour of Google Cloud Hands-on Labs

    In this first hands-on lab you will access the Google Cloud console and use these basic Google Cloud features: Projects, Resources, IAM Users, Roles, Permissions, and APIs.

  4. Lab Featured

    Creating and managing SQL pipelines

    Create a BigQuery schema

  5. Lab Featured

    Migrating to AlloyDB from PostgreSQL Using PostgreSQL Tools

    In this lab, you migrate a stand-alone PostgreSQL database (running on a virtual machine) to AlloyDB for PostgreSQL using native PostgreSQL tools.

  6. 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.

  7. 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.

  8. 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!

  9. 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.

  10. Lab Featured

    Identify different batch and streaming data sources

    Differentiate between batch and streaming data sources, formats, and frequency