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
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GCP: Compute Services
This course is part of Exam Prep: Google Cloud Certified Associate Cloud Engineer Specialization
Instructor: Whizlabs Instructor
Included with 
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
5 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
What you'll learn
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.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
June 2025
Assessments
4 assignments
Taught in English
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This course is part of the Exam Prep: Google Cloud Certified Associate Cloud Engineer Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 2 modules in this course
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.
What's included
9 videos2 readings2 assignments1 discussion prompt
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.
What's included
16 videos2 readings2 assignments
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