GCP: Compute Services is the second course of Exam Prep: Google Cloud Certified Associate Cloud Engineer Specialization. This course begins with Google Compute Engine, covering machine types, images, pricing, billing, and preemptible VM instances with practical demos. Learners explore the gcloud CLI for instance deployment and understand the use of instance groups. The course then delves into managed and serverless services, including Google Kubernetes Engine (GKE), with emphasis on private clusters, Autopilot mode, image creation, and app deployment.
GCP: Compute Services
GCP: Compute Services
包含在 
中
您将学到什么
Deploy and manage scalable workloads using Compute Engine, preemptible VMs, and instance groups.
Run containerized apps on GKE with Autopilot, Private Clusters, and custom deployment images.
Build serverless apps using App Engine, Cloud Run, and Cloud Functions with features like traffic splitting and cron jobs.
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！
June 2025
作业
4 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 Cloud Certified Associate Cloud Engineer 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 explore Compute Engine, then dive into the various machine types and custom images that provide flexibility for different workloads. We'll learn how GCP pricing and billing work, enabling you to optimize costs effectively. Through practical demos, we’ll walk through the process of launching virtual machines and managing their lifecycle. We'll also introduce preemptible VM instances—cost-effective options for batch and fault-tolerant workloads. You'll gain hands-on experience with gcloud, GCP’s command-line interface, and learn how to deploy compute instances using it. Finally, we’ll cover instance groups, which help scale applications and ensure availability through load balancing and auto-healing. By the end of this module, you’ll be equipped to deploy and manage scalable, cost-efficient compute infrastructure on GCP.
涵盖的内容
9个视频2篇阅读材料2个作业1个讨论话题
Welcome to Week 2. This week, we’ll explore Google Cloud's Managed and Serverless offerings, understanding their advantages and use cases. We’ll then introduce Google Kubernetes Engine (GKE), including an overview of GKE, Private Clusters, and Autopilot mode. Following this, we’ll shift to Google App Engine, covering its configuration via app.yaml, components, cron jobs, and advanced features like traffic splitting with hands-on demonstrations. You’ll also examine Google Cloud Run and Cloud Functions, gaining a practical understanding of their deployment models. Finally, we’ll compare Cloud Functions, App Engine, and Cloud Run to help you choose the right service for your application needs. By the end of the week, you’ll be equipped to deploy scalable, serverless solutions on Google Cloud.
涵盖的内容
16个视频2篇阅读材料2个作业
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Felipe M.
自 2018开始学习的学生
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自 2020开始学习的学生
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''如果我的大学不提供我需要的主题课程，Coursera 便是最好的去处之一。'
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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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