Container-Optimized OS: Qwik Start

Instructor: Google Cloud Training

Duration:

Discover the power of Container-Optimized OS with this self-paced lab on the Google Cloud console. In just a few clicks, learn how to create Compute Engine instances running Container-Optimized OS and unlock the full potential of containerized workloads. Dive into this hands-on experience and watch the informative video on Google's innovative solution for containerization. Don't miss out on this opportunity to enhance your skills and optimize your cloud computing journey. Join now and embark on a transformative learning adventure! ▼▲

Course Feature Course Overview Course Provider Discussion and Reviews

Go to class

Course Feature

Cost:

Paid

Provider:

Coursera

Certificate:

Paid Certification

Language:

English

Start Date:

29th May, 2023

Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [September 26th, 2023]

What does this course tell?
(Please note that the following overview content is from the original platform)
This is a self-paced lab that takes place in the Google Cloud console.This hands-on lab shows you how to create Compute Engine instances running Container-Optimized OS. Watch the short video Container-Optimized OS - Google's Solution for Containerized Workloads.

We considered the value of this course from many aspects, and finally summarized it for you from two aspects: skills and knowledge, and the people who benefit from it:
(Please note that our content is optimized through artificial intelligence tools and carefully reviewed by our editorial staff.)
What skills and knowledge will you acquire during this course?During this course, the learner will acquire the following skills and knowledge:
1. Creating Compute Engine instances: The learner will learn how to create Compute Engine instances in the Google Cloud console.
2. Running Container-Optimized OS: The learner will understand how to run instances with Container-Optimized OS, which is Google's solution for containerized workloads.
3. Hands-on experience: The learner will gain practical experience by completing a self-paced lab in the Google Cloud console.
4. Understanding Container-Optimized OS: The learner will learn about the features and benefits of Container-Optimized OS through a short video provided in the course.

Who will benefit from this course?
This course will benefit individuals and professionals who are interested in or working in the following areas:

1. DevOps Engineers: DevOps engineers who are responsible for managing and deploying containerized workloads will benefit from this course. It will help them understand how to create and manage Compute Engine instances running Container-Optimized OS, which is specifically designed for containerized workloads.

2. Cloud Architects: Cloud architects who design and implement cloud infrastructure will find this course useful. It will provide them with insights into using Container-Optimized OS for running containers on Google Cloud, enabling them to make informed decisions about infrastructure design.

3. System Administrators: System administrators who are responsible for managing and maintaining the infrastructure will benefit from this course. It will help them understand the specific features and benefits of Container-Optimized OS and how to effectively manage Compute Engine instances running this OS.

4. Developers: Developers who are building and deploying containerized applications will find value in this course. It will give them a better understanding of how to leverage Container-Optimized OS for running their containers, optimizing performance, and ensuring compatibility.

5. IT Professionals: IT professionals who are interested in learning about containerization and its benefits will benefit from this course. It provides a hands-on experience of working with Container-Optimized OS and demonstrates its advantages for running containerized workloads.