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

113 résultats

  1. Cours Sélection

    Using BigQuery Machine Learning for inference

    Learn about BigQuery ML for Inference, why Data Analysts should use it, its use cases, and supported ML models. You will also learn how to create and manage these ML models in BigQuery.

  2. Cours Sélection

    Intro to ML: Image Processing

    Using large scale computing power to recognize patterns and "read" images is one of the foundational technologies in AI, from self-driving cars to facial recognition. The Google Cloud Platform provides world class speed and accuracy via systems that can utilized by simply calling APIs. With these and a host of oth…

  3. Cours Sélection

    Cloud Healthcare API

    Cloud Healthcare API bridges the gap between care systems and applications built on Google Cloud. By supporting standards-based data formats and protocols of existing healthcare technologies, Cloud Healthcare API connects your data to advanced Google Cloud capabilities, including streaming data processing with Clo…

  4. Atelier Sélection

    Create ML Models with BigQuery ML: Challenge Lab

    This challenge lab tests your skills in developing and using machine learning models using BigQuery.

  5. Atelier Sélection

    Vertex AI Workbench Notebook: Qwik Start

    In this lab you train and deploy a TensorFlow model to Vertex AI for serving (prediction). Watch these short videos Getting started with Notebooks for machine learning and Faster model training and experimentation with Vertex AI.

  6. Atelier Sélection

    Getting Started with BigQuery ML

    In this lab, you learn how to use BigQuery to create a machine learning model that predicts whether a visitor will make a transaction.

  7. Cours Sélection

    Introduction to Generative AI

    This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.

  8. Atelier Sélection

    Classify Images of Clouds in the Cloud with AutoML Images

    AutoML Images helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).

  9. Atelier Sélection

    Predict Taxi Fare with a BigQuery ML Forecasting Model

    In this lab, you explore millions of New York City yellow taxi cab trips available in a BigQuery Public Dataset, create a machine learning model inside of BigQuery to predict the fare, and evaluate the performance of your model to make predictions.

  10. Atelier Sélection

    Detect and Investigate Threats with Security Command Center

    In this lab, you receive hands-on practice with Security Command Center’s (SCC) threat detection features and learn how to investigate and triage common vulnerabilities associated with containers and virtual machines. You also learn how to surface and manage your findings with SCC’s Event Threat Detection and Secu…