The course is part of these learning paths
See 1 moreThis course has been designed to teach you how to manage networking and compute resources on Google Cloud Platform. The content in this course will help prepare you for the Associate Cloud Engineer exam.
The topics covered within this course include:
- Adding subnets to a VPC
- Expanding existing subnets
- Reserving static addresses via the console and Cloud Shell
- Managing, configuring, and connecting to VM instances
- Adding GPUs and installing CUDA libraries
- Creating and deploying from snapshots and images
- Working with instance groups
Learning Objectives
- Learn how to manage networking and compute resources on Google Cloud Platform
- Prepare for the Google Associate Cloud Engineer Exam
Intended Audience
- Those who are preparing for the Associate Cloud Engineer exam
- Those looking to learn more about managing GCP networking and compute features
Prerequisites
To get the most from this course, you should have some exposure to GCP resources, such as VCPs, VM Instances, Cloud Console, and Cloud Shell. However, this is not essential.
Welcome to Managing Network and Compute Resources on Google Cloud Platform. My name is Thomas Mitchell and I'll be taking you through this course. I'm a content author at Cloud Academy and I have over 25 years of IT experience - several of those with cloud technologies. If you have any questions, feel free to connect with me on LinkedIn or send an email to support@cloudacademy.com.
This course is intended for IT professionals who deploy applications, monitor operations and manage enterprise solutions using Google Cloud Platform services and offerings. It's also intended for those interested in obtaining the Associate Cloud Engineer Certification.
To get the most from this course you should have a basic understanding of the Google Cloud Platform and its offerings. We'll kick off the first half of this course by covering the management of network resources. In this first half, you'll learn how to add a subnet to an existing VPC and how to expand a CIDR block subnet. You'll also learn how to reserve static internal and external IP addresses. We'll wrap up the first half of the course by covering the different management interfaces including Cloud Console, Cloud Shell, and Cloud SDK, as they relate to network resource management.
The second half of the course will cover the management of Compute Engine resources. In it, you'll learn how to manage VM instances and how to connect to them via SSH and RDP. As we progress through the second half of the course, you'll learn how to attach a GPU to a VM instance and how to install the CUDA libraries. We'll then cover how to view information about current running VM inventory.
Later on, you'll learn how to create, view, and delete snapshots. You'll also learn how to create images, how to view those images, and how to delete them.
Coming down the home stretch, you'll learn how to work with instance groups and how to use the different management interfaces as they relate to Compute Engine management. By the time you complete this course, you'll have a full understanding of how to manage network resources and Compute Engine resources on Google Cloud Platform.
We'd love to get your feedback on this course, so please give it a rating when you're finished. So, if you're ready to learn how to manage network and compute resources on Google Cloud Platform, let's get started.
Tom is a 25+ year veteran of the IT industry, having worked in environments as large as 40k seats and as small as 50 seats. Throughout the course of a long an interesting career, he has built an in-depth skillset that spans numerous IT disciplines. Tom has designed and architected small, large, and global IT solutions.
In addition to the Cloud Platform and Infrastructure MCSE certification, Tom also carries several other Microsoft certifications. His ability to see things from a strategic perspective allows Tom to architect solutions that closely align with business needs.
In his spare time, Tom enjoys camping, fishing, and playing poker.