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所在平台: Udemy |
课程主页: https://www.udemy.com/course/google-cloud-platform-essentials-training/
课程评论：没有评论
课程名称：Google Cloud Platform 认证准备 - 基础 课程概述：本课程是一个实践性基础课程，介绍了Google Cloud Platform（GCP）的概念和术语。您将学习GCP的基础知识，以及如何管理其提供的产品和服务，通过GCP提供的三种不同方法进行管理。课程开始时，您将了解如何找到GCP及其服务的信息，然后学习GCP的核心基础设施，包括区域、可用区和项目。在实验课程中，您将学习如何创建试用账户，使用GCP控制台、移动应用程序和命令行工具来管理四个最常用的服务。您将部署一个网站，将文件上传到云存储，设置权限以允许匿名用户访问您在云存储中的文件，创建并查询Cloud SQL中的数据库。您还将向BigQuery服务导入数据并运行查询以分析数据集。 课程结束时，您将了解Google Cloud Platform的服务和产品，包括计算服务、数据库服务、IAM和安全服务、网络服务、大数据服务和机器学习服务。您将能够使用Compute、Cloud SQL、Cloud Storage和BigQuery服务，利用命令行工具在计算引擎环境中部署和删除多个虚拟机实例，使用gsutil工具向Cloud Storage导入数据，并使用bq命令行工具导入数据和运行数据分析查询。在最后的实验课中，您将学习如何处理计算、存储和数据库，并了解您在构建解决方案时使用的最终架构。在这个循序渐进的实验室教程中，您不仅学习执行命令，还将理解在运行命令时发生的背后原理。
This hands-on essentials course introduces you to the concepts and terminology for working with Google Cloud Platform (GCP). You learn GCP fundamentals, learn about product and services how to manage these services using the three different methods that GCP provides. In this course you will start with knowing how to find information on the GCP and the services it has to offer and, then go on to learn about GCP core infrastructure - regions, zones and projects. In the lab lessons, you will learn how to create a trial account, use GCP console, mobile app and the command-line tools to manage the four most commonly used services. You will deploy a website, upload files to cloud storage, set permissions to allow anonymous users to access your files in cloud storage, create and query a database in cloud SQL. You will also import data into BigQuery service and run a query to analyze the dataset. At the end of this course, you will know about the Google Cloud Platform services and products- such as compute services, database services, IAM and security services, networking services, Big data services and Machine learning services. You will be able to to work with Compute, Cloud SQL, Cloud Storage and BigQuery services. You will be able to use command-line tools to deploy and delete multiple VM instances in the compute engine environment, import data into Cloud Storage using gsutil tool and use bq command-line tool to import data and run query for data analysis. In the final lab lesson, you learn to work with compute, storage and databases and you also learn about the end state architecture that you use to build the solutions. In this step-by-step tutorial lab you not only learn to execute the commands but also understand what happens behind the seen when you run the command.
