GCP: Compute and Networking is the first course of Exam Prep: Google Certified Professional Cloud Architect Specialization. This course prepares learners to become confident cloud architects by mastering the skills required to design, build, and manage secure and scalable solutions using Google Cloud. Through a combination of practical labs, architectural walkthroughs, and guided demos, learners will gain hands-on experience with core services like Compute Engine, VPC, Kubernetes Engine, Cloud Run, App Engine, and Cloud Functions.
GCP: Compute and Networking
GCP: Compute and Networking
包含在 
中
您将学到什么
Deploy core GCP compute services.
Design and implement secure virtual networks.
Monitor, scale, and troubleshoot GCP network and compute workloads.
您将获得的技能
要了解的详细信息
可分享的证书
添加到您的领英档案
最近已更新！
September 2025
作业
5 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
本课程是 Exam Prep: Google Certified Professional Cloud Architect 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书
该课程共有2个模块
Welcome to Week 1. This week, we’ll begin with an introduction to Google Cloud Platform (GCP). You'll learn how to navigate the Google Cloud Console and understand how GCP organizes resources. Next, we’ll explore the various compute services available in GCP, helping you know which service to use based on workload type. We’ll dive into Compute Engine, GCP’s IaaS offering, and walk through provisioning virtual machines with a hands-on demo. You’ll also get an overview of Google Kubernetes Engine (GKE) for container orchestration, Cloud Run for deploying containerized applications without managing servers, and Cloud Functions for lightweight, event-driven workloads. Additionally, we’ll introduce App Engine, GCP’s fully managed platform for scalable web apps. By the end of this module, you’ll have a solid foundation in GCP compute services and be able to choose the right tool for various deployment scenarios, from VMs to serverless functions.
涵盖的内容
13个视频2篇阅读材料2个作业
Welcome to Week 2. This week, we’ll focus on networking in Google Cloud, starting with an overview of Virtual Private Cloud (VPC). You’ll learn how to create VPCs, configure firewall rules, and launch virtual machines (VMs) within these networks. We’ll explore key networking services such as VPC peering, which allows communication across different VPCs. Next, we’ll introduce Network Topology, a visual tool to monitor and understand your network layout and traffic flow. You’ll get insights into Partner Interconnect for connecting on-premises infrastructure to GCP. We'll also cover Cloud Load Balancing, including a hands-on demo to showcase how to distribute traffic across multiple backend instances for improved performance and availability. In addition, we’ll dive into Cloud DNS, Routes, and Firewall rules that govern network traffic. You’ll also learn about Cloud CDN for content delivery acceleration and Autoscaler, which automatically adjusts the number of VM instances in response to traffic. By the end of this module, you’ll have a solid grasp of how to build, secure, scale, and monitor a robust network infrastructure in GCP.
涵盖的内容
14个视频2篇阅读材料3个作业1个插件
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常见问题
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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