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.

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  1. Cours Sélection

    Baseline: Data, ML, AI

    Big data, machine learning, and artificial intelligence are today’s hot computing topics, but these fields are quite specialized and introductory material is hard to come by. Fortunately, Google Cloud provides user-friendly services in these areas, and with this introductory-level quest, so you can take your first…

  2. Cours Sélection

    Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation

    This course equips machine learning practitioners with the essential tools, techniques, and best practices for evaluating both generative and predictive AI models. Model evaluation is a critical discipline for ensuring that ML systems deliver reliable, accurate, and high-performing results in production. Participa…

  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

    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.

  6. 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…

  7. 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.

  8. 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.

  9. Atelier Sélection

    Creating a Virtual Machine

    In this hands-on lab, you’ll learn how to create a Google Compute Engine virtual machine and understand zones, regions, and machine types. To preview, watch the short video Create a Virtual Machine, GCP Essentials.

  10. Cours Sélection

    Intermediate ML: TensorFlow on Google Cloud

    TensorFlow is an open source software library for high performance numerical computation that's great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers in the Cloud to an edge device. This quest takes you beyond the basics of using predefined models and teaches y…