Activités à la demande

Trouvez les activités à la demande qui vous conviennent. Les ateliers sont des activités de formation courtes qui couvrent une leçon spécifique en vous donnant un accès direct, temporaire et pratique à des ressources cloud réelles. Les cours sont des activités plus longues comprenant plusieurs modules, dont des vidéos, des documents, des ateliers pratiques et des questionnaires. Les quêtes sont semblables aux cours, mais sont généralement plus courtes et contiennent uniquement des ateliers.

  • Badge
  • Format
  • Langue

1073 résultats

  1. Atelier Sélection

    Export Data from Google Earth Engine to BigQuery

    In this lab, you will learn how to export data from Google Earth Engine to BigQuery using the Earth Engine Code Editor.

  2. Atelier Sélection

    Monitoring and Managing Bigtable Health and Performance

    In this lab, you monitor disk and CPU usage in a Bigtable instance, update an existing cluster to apply node autoscaling, implement replication in an instance, and back up and restore data in Bigtable.

  3. Atelier Sélection

    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

  4. Atelier Sélection

    Filtering Explores with LookML

    In this lab, you learn how to filter Explores with LookML.

  5. Atelier Sélection

    Creating a Persistent Disk

    In this hands-on lab, you will learn how to create a persistent disk and use it on a Google Compute Engine virtual machine. You will also learn about zones, regions, and different disk types. Watch the short preview Create a Persistent Disk, GCP Essentials.

  6. Atelier Sélection

    Generative AI: Hamburg Tour

    Arcade chatbot lab to learn about the Hamburg

  7. Atelier Sélection

    Build a BI Dashboard Using Looker Studio and BigQuery

    In this lab, you will learn how to build a BI dashboard with Looker Studio as the front end, powered by BigQuery on the back end.

  8. Atelier Sélection

    Creating Date-Partitioned Tables in BigQuery

    In this lab, you learn how to query and create partitioned tables to improve query performance and reduce resource usage.

  9. Atelier Sélection

    Generative AI: ML Engineer Revision

    Arcade chatbot lab to learn about the Professional ML Engineer

  10. Atelier Sélection

    Summarize Text using SQL and LLMs in BigQuery ML

    In this lab, you will explore how to perform summarization of source code from GitHub repos and identification of the language of programming in the repo, using Vertex AI Large Language Model (LLM) for text generation.