Architecting with Google Kubernetes Engine Workloads

In this course, “Architecting with Google Kubernetes Engine: Workloads,” you learn about performing Kubernetes operations; creating and managing deployments; the tools of GKE networking; and how to give your Kubernetes workloads persistent storage.This is the second course of the Architecting with Google Kubernetes Engine series. After completing this course, enroll in the Architecting with Google Kubernetes Engine: Production course.

• Understand the role of the kubectl command

• Create and use deployments, and create run jobs and cron jobs

• Create services and use load balancers to expose services to external clients

• Understand and work with different Kubernetes storage abstractions

Syllabus

Syllabus - What you will learn from this course
Week 1
Course Introduction
Kubernetes Operations
Deployments, Jobs, and Scaling
Google Kubernetes Engine (GKE) Networking
Persistent Data and Storage

FAQ

Can I preview a course before enrolling?

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

What will I get when I enroll?

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

When will I receive my Course Certificate?

If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

Why can’t I audit this course?

This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available.

Is financial aid available?

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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Last Updated: September 1, 2015

Reviews

The course is pretty good, but it should really be split into 3 separate weeks, one for each module.

Lots of good fundamentals in here especially regarding networking and config and stateful workloads.

This was one of the best courses on GCP so far - really helpful in understanding micro services development on Kubernetes.

A very heavy and interesting course. It definitely a course that I will be using as a reference as it has way too much information to just take on one go.