On-demand activities

У Google Cloud ми створили для вас комплексний каталог, що містить понад 980 навчальних матеріалів. У ньому ви можете вибирати різні формати навчання. Це можуть бути невеликі індивідуальні практичні роботи чи багатомодульні курси з відео, документами, практичними завданнями й тестами. Для виконання практичних робіт ми надаємо вам тимчасові облікові дані для доступу до справжніх ресурсів у хмарі, тож ви можете вивчати Google Cloud у реальному середовищі. Отримуйте значки за виконані завдання, ставте собі цілі, відстежуйте й вимірюйте свої успіхи з Google Cloud.

FILTER BY
Clear all
  • Badge
  • Формат
  • Мова

Кількість результатів: 318
  1. Курс Пропонується

    Workspace: Add-ons

    This quest of hands-on labs demonstrates the power of integrating Google Cloud services and tools with Workspace applications - like using Node.js to build a survey bot, the Natural Language API to recognize sentiment in a Google Doc, and building a chat bot with Apps Script.

  2. Курс Пропонується

    Monitor and Log with Google Cloud Observability

    Complete the introductory Monitor and Log with Google Cloud Observability skill badge to demonstrate skills in the following: monitoring virtual machines in Compute Engine, utilizing Cloud Monitoring for multi-project oversight, extending monitoring and logging capabilities to Cloud Functions, creating and sending…

  3. Курс Пропонується

    Kubernetes in Google Cloud

    Kubernetes is the most popular container orchestration system, and Google Kubernetes Engine was designed specifically to support managed Kubernetes deployments in Google Cloud. In this advanced-level quest, you will get hands-on practice configuring Docker images, containers, and deploying fully-fledged Kubernetes…

  4. Курс Пропонується

    Build a Website on Google Cloud

    Earn the introductory skill badge by completing the Build a Website on Google Cloud course. This course is based on the series Get Cooking in Cloud, where you learn how to: Deploy a website on Cloud Run; Host a web app on Compute Engine; Create, deploy, and scale your website on Google Kubernetes Engine; Migrate …

  5. Практична робота Пропонується

    Develop an App with Vertex AI Gemini 1.0 Pro

    In this lab, you develop an app using the Streamlit framework with Vertex AI's Gemini API, and deploy the app to Cloud Run.

  6. Практична робота Пропонується

    Develop GenAI Apps with Gemini and Streamlit: Challenge Lab

    In this challenge lab, you will act as an Application Developer and/or DevOps Engineer for a Healthy Living oriented company. The company hires you to build, test and deploy a proof of concept for an AI-based chef application built on the Gemini pro model, Streamlit framework and Cloud Run.

  7. Курс Пропонується

    Getting Started with Apache Kafka and Confluent Platform on Google Cloud

    Organizations around the world rely on Apache Kafka to integrate existing systems in real time and build a new class of event streaming applications that unlock new business opportunities. Google and Confluent are in a partnership to deliver the best event streaming service based on Apache Kafka and to build event…

  8. Практична робота Пропонується

    GKE Autopilot: Qwik Start

    GKE Autopilot provides a managed environment for deploying, managing, and scaling your containerized applications using Google infrastructure.

  9. Курс Пропонується

    Building Scalable Java Microservices with Spring Boot and Spring Cloud

    ¨Microservices" describes a software design pattern in which an application is a collection of loosely coupled services. These services are fine-grained, and can be individually maintained and scaled. The microservices architecture is ideal for the public cloud, with its focus on elastic scaling with on-demand res…

  10. Курс Пропонується

    Workspace: Integrations for Data

    This quest of hands-on labs demonstrates the power of integrating Google Cloud services and tools with Workspace applications. You will create direct connections to Google Cloud data sources using the BigQuery API, Apps Script, Sheets, and Slides to collect, analyze and present data.