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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  1. Atelier Sélection

    Develop and Secure APIs with Apigee X: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Develop and Secure Apigee X course. You should be familiar with the content of the labs before attempting this lab.

  2. Atelier Sélection

    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.

  3. Atelier Sélection

    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.

  4. Atelier Sélection

    Implementing a Hub and Spoke using NCC

    In this lab, you create a hub and spoke topology using NCC. In this hands-on exercise, you'll design and implement a classic hub-and-spoke network topology. Your pre-configured environment includes three VPC networks—a central hub and two branches (spoke1 and spoke2).

  5. Atelier Sélection

    Grounding Gemini Models in Vertex AI

    In this lab, you will learn how to use grounding in Vertex AI to generate content grounded in your own documents and data.

  6. Atelier Sélection

    Using Elastic Stack to Monitor Google Cloud

    In this lab you will learn how to use the Elastic Stack to monitor Google Cloud Platform.

  7. Atelier Sélection

    Getting Started with Splunk Cloud GDI on Google Cloud

    A step-by-step guide through the process to configure multiple methods to ingest Google Cloud data into Splunk

  8. Atelier Sélection

    Automate GKE Configurations with Config Sync and Policy Controller

    Use GitOps-driven Config Sync to automate configuration and Policy Controller to enforce policies on GKE Enterprise resources

  9. Atelier Sélection

    Compare data analytics with BigQuery and Dataproc

    Create and import data using parquet files

  10. Atelier Sélection

    Data Analysis with the FraudFinder Workshop

    FraudFinder is a series of JupyterLabs that show how to implement an end-to-end Data to AI architecture works on Google Cloud, through a toy use case of real-time fraud detection system.