Discover Google Cloud training your way

With 980+ learning activities to choose from, Google Cloud has designed our comprehensive catalog with you in mind. The catalog consists of a variety of activity formats for you to pick from. Choose from bite-size individual labs or multi-module courses that consist of videos, documents, labs, and quizzes. Our labs give you temporary credentials to actual cloud resources, so you can learn Google Cloud using the real thing. Earn badges for what you complete, define, track, and measure your success with Google Cloud!

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752 results
  1. Lab Featured

    SingleStore on Google Cloud

    Learn how to deploy SingleStore DB, combine it with cloud native products like Pub/Sub, Dataflow and Cloud Storage, and interact with SingleStore once the data is ingested.

  2. Lab Featured

    Cloud Composer: Qwik Start - Console

    In this lab, you create a Cloud Composer environment using the GCP Console. You then use the Airflow web interface to run a workflow that verifies a data file, creates and runs an Apache Hadoop wordcount job on a Dataproc cluster, and deletes the cluster.

  3. Lab Featured

    Building and Debugging Cloud Functions for Node.js

    In this lab, you will create a Cloud Function for Node.js that reports whether a specified temperature is acceptable or too hot. You will create, test, and debug your Cloud Function using Visual Studio Code on your local machine. Lastly, you'll deploy your function to Google Cloud Platform.

  4. Lab Featured

    Cloud Run Canary Deployments

    Implement a deployment pipeline for Cloud Run that executes a progression of code from developer branches to production with automated canary testing and percentage based traffic management.

  5. Lab Featured

    Cisco: SD-WAN Cloud Hub with Google Cloud

    In this hands-on lab, you will learn how to leverage Google Service Directory and Cisco SD-WAN to optimize the performance of a video streaming application.

  6. Lab Featured

    Serverless Data Processing with Dataflow - Writing an ETL Pipeline using Apache Beam and Dataflow (Python)

    In this lab, you a) build a batch ETL pipeline in Apache Beam, which takes raw data from Google Cloud Storage and writes it to BigQuery b) run the Apache Beam pipeline on Dataflow and c) parameterize the execution of the pipeline.

  7. Lab Featured

    End to End Baseline Chat Summarization

    In this lab, you build a end to end Baseline Chat Summarisation pipeline.

  8. Lab Featured

    Introduction to Migration Center Servers Assessments

    Learn how to assess a customer's existing environment, and import data collected from Azure/AWS infrastructure. Generate inventory, performance, network dependencies and financial reports such as TCO (total cost analysis) and DPR (detailed pricing) reports.

  9. Lab Featured

    Serverless Data Processing with Dataflow - Writing an ETL pipeline using Apache Beam and Dataflow (Java)

    In this lab, you a) build a batch ETL pipeline in Apache Beam, which takes raw data from Google Cloud Storage and writes it to BigQuery b) run the Apache Beam pipeline on Dataflow and c) parameterize the execution of the pipeline.

  10. Lab Featured

    Exploring Memorystore for Redis Cluster

    In this lab, you will explore the capabilities of Memorystore for Redis Cluster.