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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42 résultats

  1. Cours Sélection

    Developing Containerized Applications on Google Cloud

    In this course, you learn about containers and how to build, and package container images. The content in this course includes best practices for creating and securing containers, and provides an introduction to Cloud Run and Google Kubernetes Engine for application developers.

  2. Cours Sélection

    Introduction to Image Generation

    This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion m…

  3. Cours Sélection

    Introduction to Vertex AI Studio

    This course introduces Vertex AI Studio, a tool for prototyping and customizing generative AI models. Through immersive lessons, engaging demos, and a hands-on lab, you'll explore the generative AI workflow and learn how to leverage Vertex AI Studio for Gemini multimodal applications, prompt design, and model tuni…

  4. Cours Sélection

    Introduction to Data Analytics on Google Cloud

    This introductory course explores the basics of data analysis, including collection, storage, exploration, visualization, and sharing. This course also introduces Google Cloud's data analytics tools and services. Through video lectures, demos, quizzes, and hands-on labs, this course demonstrates how to go from raw…

  5. Cours Sélection

    Introduction to AI and Machine Learning on Google Cloud

    This course introduces the AI and machine learning (ML) offerings on Google Cloud that build both predictive and generative AI projects. It explores the technologies, products, and tools available throughout the data-to-AI life cycle, encompassing AI foundations, development, and solutions. It aims to help data sc…

  6. Cours Sélection

    Understanding Cloud Spanner

    In this course you will learn about Cloud Spanner. You will get an introduction to Cloud Spanner, contrasting it with other Database products to understand when and how to use Spanner to solve your relational database needs at scale. You will learn how to create and manage Spanner databases using various tools on …

  7. Cours Sélection

    Google Cloud Essentials

    In this introductory-level Quest, you will get hands-on practice with the Google Cloud’s fundamental tools and services. Google Cloud Essentials is the recommended first Quest for the Google Cloud learner - you will come in with little or no prior cloud knowledge, and come out with practical experience that you ca…

  8. Cours Sélection

    Implement Load Balancing on Compute Engine

    Complete the introductory Implement Load Balancing on Compute Engine skill badge to demonstrate skills in the following: writing gcloud commands and using Cloud Shell, creating and deploying virtual machines in Compute Engine, and configuring network and HTTP load balancers. A skill badge is an exclusive digital…

  9. Cours Sélection

    Introduction to Gemini for Google Workspace

    Gemini for Google Workspace is an add-on that provides customers with generative AI features in Google Workspace. In this learning path, you learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Google Workspace.

  10. Cours Sélection

    Working with Notebooks in Vertex AI

    This course is an introduction to Vertex AI Notebooks, which are Jupyter notebook-based environments that provide a unified platform for the entire machine learning workflow, from data preparation to model deployment and monitoring. The course covers the following topics: (1) The different types of Vertex AI Noteb…