Too many problems with the Labs, but if fixed the course is smooth and nice

It was a bit confusing to understand and the lab environment was too slow.

lots of jargon, content explanation needs improvement

Too much guided assignments

Week 1 and Week 2 too long

Was a lot of rote-stating definition with little context as to what these different functionalities are used for with examples. Instead they only provide context for what they do within Docker and Kubernetes. This is quite confusing as this course is supposedly aimed at people with no experience of either application. Also the final project is a joke and is pretty much a step by step follow along guide with little room for actual learning or attempting to make the student think at all. Half the steps are incomplete in their description causing you to "click to view hint" to see what they are even asking, which just spits out the example code that you can just copy and paste to get the right answer. For example, "autoscale the deployment" and the only way to find out how much the assignment creator wants you to autoscale the deployment by is to view the hint. How that is supposed to test anything, I don't know.

Doesn't really seem to add anything you couldn't get from reading documentation. https://docs.docker.com/get-started/docker-overview/ https://kubernetes.io/docs/tutorials/kubernetes-basics/ https://docs.redhat.com/en/documentation/openshift_container_platform/4.16/html/getting_started/openshift-overview

Basically well explained, but the course can not be completed, because div. problems arose. Authorization failed. Routing of the application not accessible. I have now spent 4h + to search forums and still it remains unsuccessful.

Not recommended. It's just generic information you can read anywhere online with a poorly done AI voiceover. Exhausting to watch, good thing I knew these things already because I wouldn't learn them this way.

It is always hard to understand the concepts via very vague slides. Not until later in the code labs can I start to understand few concepts, yet only a FEW.

This should be divided in two Courses. Also there are a lot of dependencies from systems that could fail in important times like the last project.

Final project connections were extremely unreliable and it was a struggle to wait for everything to work to finish the source.

LAb at week 4 don't workk, Openshift tab doesn't show up and the problem hasn't been addressed

Completely taught by some AI assistant with a monotonous voice