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所在平台: Udemy |
课程主页: https://www.udemy.com/course/google-cloud/
课程评论：没有评论
课程名称：Google Cloud for Machine Learning 2020 Master Course 课程概述： 云计算是技术领域中薪资最高、需求最旺盛的职业类别之一。近年来，大多数企业开始使用云服务，如数据库、网络、服务器、分析和智能，以满足业务需求。使用云服务不仅能帮助企业智能利用基础设施，还能降低运营成本。Google Cloud由于其在数据分析和无服务器领域的诸多优势，正快速获得市场认可。展望未来，Google Cloud将是一个极佳的选择。 本课程的目标是覆盖许多最常用的Google Cloud产品。课程内容包括： 1. **App Engine**：作为Google Cloud的无服务器平台，App Engine使您能够创建无限可扩展的应用和部署。在这一部分，您将学习如何在Google Cloud上创建App Engine项目，托管静态网站并创建API。 2. **Cloud Functions**：这是Google Cloud在抽象无服务器环境中的主要产品，可以简化简单和重复任务的部署。在这一部分，您将学习如何使用Python和JavaScript创建云函数，并将其用作App Engine的中间件，执行事件驱动的任务。 3. **Cloud Compute Engine**：提供虚拟机服务的Google Cloud产品。您可以创建具有完全自定义硬件和软件的虚拟机。课程中将指导您在Google Cloud上创建虚拟机，并编写CPU密集型程序以基准测试该虚拟机。 4. **Cloud Firestore**：Google Cloud和Firebase提供的完全托管的NoSQL数据库平台。在这一部分，您将学习如何使用Firebase进行CRUD操作，并与App Engine结合使用。 5. **Cloud BigQuery**：适用于大数据相关工作负载的Google Cloud产品。在此部分，您将学习如何使用Python创建自定义数据集，并在Cloud BigQuery上托管该数据集，然后对数据库执行SQL查询。 总体而言，本课程旨在提供对Google Cloud上软件开发周期的全面理解，涵盖从编写代码到使用Git和GitHub进行部署的各个重要步骤。
Cloud Computing is one of the highest paying and most demanding job category in technology. Most businesses in recent years have started using cloud services like database, networking, servers, analytics, and intelligence for their business needs. Using cloud services not only helps with smart usage of infrastructure but also minimizes operational costs.Google Cloud is quickly gaining market adoption due to some of its offerings in the Data Analytics and Serverless domain. Looking at the future, Google Cloud would be an excellent choice.This course aims at covering a lot of the most used Google cloud products. App Engine: App Engine is one of Google Cloud's serverless platforms. App Engine enables you to create infinitely scalable applications and deployments. In this section, you will be able to, Create an app engine project on Google Cloud. Host a static website on App Engine. Create an API using App Engine.Cloud Functions: Cloud Functions is Google Cloud's biggest offering in the abstracted serverless environment. Cloud functions make the deployment of simple and repeated tasks easier. In this section, you will be able to create a cloud function using Python and Javascript. You will also be able to use cloud functions as a middleware for App Engine and perform event driven tasks.Cloud Compute Engine: Cloud compute engine is Google Cloud's offering for the Virtual Machine space. You can create a Virtual machine with complete custom hardware and software. In this section, we will be creating a Virtual Machine on Google Cloud and create a CPU intensive program to benchmark the Virtual Machine.Cloud Firestore: Cloud Firestore is a fully managed NoSQL database platform offered by Google Cloud and Firebase. We will be performing CRUD operations with Firebase and use it with App Engine.Cloud BigQuery: Cloud BigQuery is Google Cloud's offering for big data related workloads. In this section, we will be creating a custom dataset using Python, we will host this dataset on Cloud BigQuery and then perform SQL queries on the databaseOverall, this course aims at providing a holistic understanding of the software development cycle on Google Cloud. Most of the essential steps from writing code to staging deployments using Git and GitHub are covered in this course.
