Nikita Pande
成为会员时间:2019
青铜联赛
900 积分
成为会员时间:2019
Workspace 是 Google 的协作应用 平台,由 Google Cloud 提供。在本入门级课程中,您将 从用户角度对 Workspace 的核心应用进行实操练习。虽然 Workspace 包含的应用和工具组件远多于本课程涵盖的范围, 但您将实际操作主要应用:Gmail、日历、表格以及 以及其他一些应用。每个实验可在 10–15 分钟内完成,但课程预留了额外 时间,供您自主自由探索这些应用。
When it comes to hosting websites and web applications, you want a framework that’s robust, fast, and secure. By choosing the Google Cloud Platform, you will have all of those needs covered. In this fundamental-level quest, you will get hands-on practice with GCPs key infrastructure and computing services for the web. From deploying your first web app, to integrating Cloud SQL with Ruby on Rails, to mapping the NYC subway system on App Engine, you will learn all the skills needed to harness GCPs web hosting power.
This introductory-level quest shows application developers how the Google Cloud ecosystem could help them build secure, scalable, and intelligent cloud native applications. You learn how to develop and scale applications without setting up infrastructure, run data analytics, gain insights from data, and develop with pre-trained ML APIs to leverage machine learning even if you are not a Machine Learning expert. You will also experience seamless integration between various Google services and APIs to create intelligent apps.
Kubernetes 是最受欢迎的容器编排系统, Google Kubernetes Engine 专为支持 Google Cloud 中的托管式 Kubernetes 部署 而设计。在本高级课程中,您将亲自动手配置 Docker 映像、容器,并部署功能完备的 Kubernetes Engine 应用。 此课程将帮助您掌握在工作流中集成容器编排所需的 实用技能。 想要参加实操实验室挑战赛, 展示您的技能并检验所学知识?完成本课程后,不妨继续参与这项额外的 实验室挑战赛,赢得 Google Cloud 专属数字徽章。 该挑战赛位于在 Google Cloud 上部署 Kubernetes 应用课程的结尾处。
在本入门级课程中,您将了解 Google Cloud 的基础工具和服务。此课程提供了可选视频, 旨在帮助您深入了解和回顾实验中涉及的概念。Google Cloud 基础知识是推荐给 Google Cloud 学员的第一门课程 - 即使您几乎没有云相关知识,也能从中获得实践 经验,并将其直接运用于您的首个 Google Cloud 项目。从编写 Cloud Shell 命令和部署您的第一个虚拟机,到在 Kubernetes Engine 上运行应用 或者使用负载均衡,“Google Cloud 基础知识”都是您了解该平台 基本功能的首选入门级课程。
You have data. We have analysis tools. Let's talk! In today's game, you will explore how Google Cloud can help you take advantage of the information you already have. Get hands-on practice with SQL, BigQuery and Data Studio, three tools we promise you will use again.