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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/gcp-fundamentals
课程评论：没有评论
课程名称：Google Cloud Fundamentals: Core Infrastructure 概述：本课程介绍了在 Google Cloud Platform (GCP) 上工作的重要概念和术语。您将学习并比较 GCP 中的多种计算和存储服务，包括 Google App Engine、Google Compute Engine、Google Kubernetes Engine、Google Cloud Storage、Google Cloud SQL 和 BigQuery。此外，本课程还涵盖了重要的资源和政策管理工具，如 Google Cloud Resource Manager 层级和 Google Cloud 身份与访问管理。通过实践实验，您将获得在 GCP 上工作的基础技能。 课程大纲： 1. 课程介绍 本节欢迎学习者参加 Google Cloud Fundamentals: Core Infrastructure 课程，并提供课程结构和目标的概述。 2. 引入 Google Cloud 本节介绍使用 Google Cloud 的一些关键好处，阐明 Google 网络基础设施的组成部分，并探索基础设施即服务 (IaaS) 与平台即服务 (PaaS) 之间的区别。 3. 云中的资源与访问 本节探讨资源如何通过项目进行组织，以及如何通过身份与访问管理 (IAM) 工具与正确的员工部分共享这些资源。同时识别与 Google Cloud 的不同互动方式。 4. 云中的虚拟机和网络 本节关注 Google Compute Engine 的工作原理，重点讨论虚拟网络。 5. 云中的存储 本节展示了五种核心的 Google Cloud 存储产品：Cloud Storage、Bigtable、Cloud SQL、Spanner 和 Firestore。 6. 云中的容器 本节探讨容器及其如何通过 Kubernetes 和 Google Kubernetes Engine 进行管理。 7. 云中的应用程序 本节重点讨论在云中开发应用程序的过程，探讨 Cloud Run 和 Cloud Run 函数。 8. 提示工程 本节关注生成 AI 工具的工作原理，探索如何将 Google Cloud 知识与提示工程相结合，以改进 Gemini 的响应。 9. 课程总结 在最后一节中，我们回顾课程中介绍的内容，并讨论继续您的云学习之旅的下一步。 注意：Google 服务在中国目前不可用。
Name:Course Introduction
Description:This section welcomes learners to the Google Cloud Fundamentals: Core Infrastructure course, and provides an overview of the course structure and goals.
Name:Introducing Google Cloud
Description:This section identifies some of the key benefits of using Google Cloud. It's here that we introduce the components of the Google network infrastructure, and explore the differences between infrastructure as a service (IaaS) and platform as a service (PaaS).
Name:Resources and Access in the Cloud
Description:This section explores how resources get organized with projects, and how access to those resources gets shared with the right part of a workforce through a tool called Identity and Access Management (IAM). It's also in this section that we identify different ways to interact with Google Cloud.
Name:Virtual Machines and Networks in the Cloud
Description:This section of the course explores how Google Compute Engine works, with a focus on virtual networking.
Name:Storage in the Cloud
Description:This section of the course showcases five core Google Cloud storage products: Cloud Storage, Bigtable, Cloud SQL, Spanner, and Firestore.
Name:Containers in the Cloud
Description:This section of the course explores containers and how they can be managed with Kubernetes and Google Kubernetes Engine.
Name:Applications in the Cloud
Description:The focus of this section of the course is developing applications in the cloud. It's here that we'll explore Cloud Run and Cloud Run functions.
Name:Prompt Engineering
Description:This section looks at generative AI tools, how they work. We'll explore how to combine Google Cloud knowledge with prompt engineering to improve Gemini responses.
Name:Course Summary
Description:In this final section, we review what was presented in this course and discuss the next steps to continue your cloud learning journey.
This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP. Note: •Google services are currently unavailable in China.
