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Google Cloud Fundamentals

Core Infrastructure - 繁體中文

Google Cloud Training

Google Cloud 基礎知識:「核心基礎架構」介紹了在使用 Google Cloud 時會遇到的重要概念和術語。本課程會透過影片和實作研究室,介紹並比較 Google Cloud 的多種運算和儲存服務,同時提供重要的資源和政策管理工具。

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What's inside

Syllabus

課程簡介
在本節中,我們會歡迎學員來學習「Google Cloud 基礎知識:核心基礎架構」課程,並簡要介紹課程架構和目標。
Google Cloud 簡介
本節會說明使用 Google Cloud 的主要優勢,介紹 Google 網路基礎架構的組成要素,並探討基礎架構式服務 (IaaS) 和平台式服務 (PaaS) 之間的差異。
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Cloud 中的資源與存取權
本節會探討如何透過專案統整資源,以及如何透過名為 Identity and Access Management (IAM) 的工具與適當人員共用對這些資源的存取權。其中也會介紹 Google Cloud 的各種操作方式。
Cloud 中的虛擬機器和網路
本節課程會探討 Google Compute Engine 的運作機制,並著重介紹虛擬網路。
Cloud 的儲存空間
本節課程會介紹 Google Cloud 的五大核心儲存空間產品:Cloud Storage、Cloud Bigtable、Cloud SQL、Cloud Spanner 以及 Firestore。
Cloud 中的容器
本節課程會探討容器,以及如何使用 Kubernetes 和 Google Kubernetes Engine 管理容器。
Cloud 中的應用程式
本節課程的重點是在雲端開發應用程式,其中會介紹 Cloud Run 和 Cloud Functions。
課程摘要
在最後一節中,我們會回顧本課程介紹的內容,並說明之後要採取的步驟,繼續雲端學習之旅。

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
مناسب للاستخدام من قبل المبتدئين
يوفر مقدمة قوية حول المفاهيم الأساسية لخدمة سحابة جوجل
مناسب للمهنيين في مجال تكنولوجيا المعلومات الذين يتطلعون إلى توسيع معرفتهم في خدمة سحابة جوجل
يقدم نظرة شاملة على المكونات الرئيسية لخدمة سحابة جوجل
يتضمن دراسات حالة عملية لتوضيح المفاهيم التي تمت مناقشتها
تقديمها بواسطة جوجل كلاود، مما يضمن جودة عالية ودقة المعلومات

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Activities

Coming soon We're preparing activities for Google Cloud Fundamentals: Core Infrastructure - 繁體中文. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Google Cloud Fundamentals: Core Infrastructure - 繁體中文 will develop knowledge and skills that may be useful to these careers:
Site Reliability Engineer
A Site Reliability Engineer is responsible for ensuring the reliability and performance of cloud-based applications. This course can help Site Reliability Engineers understand the core infrastructure of Google Cloud and how to use its services to build and manage cloud-based applications. The course covers topics such as virtual machines, networks, storage, and containers, which are all essential for Site Reliability Engineers to know.
Cloud Architect
A Cloud Architect is responsible for designing, building, and managing cloud computing solutions. This course can help Cloud Architects understand the core infrastructure of Google Cloud and how to use its services to build and manage cloud-based applications. The course covers topics such as virtual machines, networks, storage, and containers, which are all essential for Cloud Architects to know.
DevOps Engineer
A DevOps Engineer is responsible for bridging the gap between development and operations teams. This course can help DevOps Engineers understand the core infrastructure of Google Cloud and how to use its services to build and manage cloud-based applications. The course covers topics such as virtual machines, networks, storage, and containers, which are all essential for DevOps Engineers to know.
Cloud Engineer
A Cloud Engineer is responsible for implementing and managing cloud computing solutions. This course can help Cloud Engineers understand the core infrastructure of Google Cloud and how to use its services to build and manage cloud-based applications. The course covers topics such as virtual machines, networks, storage, and containers, which are all essential for Cloud Engineers to know.
Data Scientist
A Data Scientist is responsible for using data to solve business problems. This course can help Data Scientists understand the core infrastructure of Google Cloud and how to use its services to access and analyze data. The course covers topics such as storage, Big Data, and machine learning, which are all essential for Data Scientists to know.
Machine Learning Engineer
A Machine Learning Engineer is responsible for building and deploying machine learning models. This course can help Machine Learning Engineers understand the core infrastructure of Google Cloud and how to use its services to build and deploy machine learning models. The course covers topics such as storage, Big Data, and machine learning, which are all essential for Machine Learning Engineers to know.
Data Engineer
A Data Engineer is responsible for designing, building, and managing data pipelines. This course can help Data Engineers understand the core infrastructure of Google Cloud and how to use its services to build and manage data pipelines. The course covers topics such as storage, Big Data, and machine learning, which are all essential for Data Engineers to know.
Backend Developer
A Backend Developer is responsible for developing the backend of web applications. This course can help Backend Developers understand the core infrastructure of Google Cloud and how to use its services to build and manage backend systems. The course covers topics such as virtual machines, networks, storage, and containers, which are all essential for Backend Developers to know.
Full-Stack Developer
A Full Stack Developer is responsible for developing both the frontend and backend of web applications. This course can help Full Stack Developers understand the core infrastructure of Google Cloud and how to use its services to build and manage full-stack applications. The course covers topics such as virtual machines, networks, storage, and containers, which are all essential for Full Stack Developers to know.
Frontend Developer
A Frontend Developer is responsible for developing the frontend of web applications. This course may be useful for Frontend Developers who want to learn more about the core infrastructure of Google Cloud and how to use its services to build and manage frontend systems. The course covers topics such as virtual machines, networks, and storage, which can be helpful for Frontend Developers to know.
Mobile Developer
A Mobile Developer is responsible for developing mobile applications. This course may be useful for Mobile Developers who want to learn more about the core infrastructure of Google Cloud and how to use its services to build and manage mobile applications. The course covers topics such as virtual machines, networks, and storage, which can be helpful for Mobile Developers to know.
Database Administrator
A Database Administrator is responsible for managing and maintaining databases. This course can help Database Administrators understand the core infrastructure of Google Cloud and how to use its services to manage and maintain cloud-based databases. The course covers topics such as storage and Big Data, which are essential for Database Administrators to know.
Systems Administrator
A Systems Administrator is responsible for managing and maintaining computer systems. This course can help Systems Administrators understand the core infrastructure of Google Cloud and how to use its services to manage and maintain cloud-based systems. The course covers topics such as virtual machines, networks, storage, and containers, which are all essential for Systems Administrators to know.
Network Engineer
A Network Engineer is responsible for designing, building, and managing computer networks. This course may be useful for Network Engineers who want to learn more about the core infrastructure of Google Cloud and how to use its services to design, build, and manage cloud-based networks. The course covers topics such as networks and virtual machines, which can be helpful for Network Engineers to know.
Security Analyst
A Security Analyst is responsible for identifying and mitigating security risks. This course may be useful for Security Analysts who want to learn more about the core infrastructure of Google Cloud and how to use its services to identify and mitigate security risks. The course covers topics such as Identity and Access Management (IAM), which can be helpful for Security Analysts to know.

Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Google Cloud Fundamentals: Core Infrastructure - 繁體中文.
Provides a deep dive into the principles of designing and building data-intensive applications. It valuable resource for anyone who wants to learn how to build applications that are reliable, scalable, and maintainable.
Provides a comprehensive overview of cloud native architectures. It covers topics such as microservices, containers, and serverless computing.
Practical guide to using GCP for developers. It covers topics such as setting up a development environment, using the various services, and deploying applications to GCP.
Guide to using GCP for education. It covers topics such as using Cloud Platform for Education, Cloud Storage for Education, and App Engine for Education.
Great introduction to GCP for beginners. It covers the basics of GCP, including how to create and manage projects, how to use the various services, and how to deploy applications to GCP.
Provides a practical guide to implementing DevOps practices in organizations. It covers topics such as continuous integration, continuous delivery, and test automation.
Provides a comprehensive overview of Kubernetes. It covers topics such as cluster architecture, container management, and networking.

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