I feel that the information provided was too breif and not explained in enough detail to adquately prepare the student to complete the test and assignments required for this course.

The topic is interesting and labs are good, but machine-recorded voice is of much lower value than a human trainer explaining concepts. I do prefer AWS tutors and training.

In this course you will hear tons of concepts in just a few minutes. It's up to you to search and understand those, if you want to be able to use them.

the slides are so monotone and full of text, and read by an AI voice, you hardly grasp the whole picture.

The content needs to be improved, there are a lot of new concepts and the explanations go way too fast.

Some problems in final exam, and instructions was not as clear as one gotten used to.

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

Ai grade system is so bad!

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.

Dated courseware that requires updates to reflect the latest K8s capabilities e.g. as of 2022 Docker is no longer the Container engine. Additionally, a lot of arbitrary low-level definitions provided without providing the background first e.g. I found the 2 sections on Kubernates Objects pointless ... It may make more sense to teach those later ... or add context

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

no vale la pena pagarlo

Don't waste your time. This course is useless. Those who aren't very knowledgeable about it won't find anything new, while those who aren't will likely not understand why it's necessary and won't learn anything. It's just a collection of short videos made from slides with an AI narration. It's not pleasant to listen to. The information is pure theory, terms, commands, and so on. There are no examples of why all this is necessary or in what real-world situations it should be used. Labs: copy a line from one half of the screen and paste it on the other half. I completed two levels and couldn't take any more.

Horrible course. Basically it's just a text-to-speech engine that reads a lot of dense information without any concrete use case. If you enjoy learning a bunch of command line prompts and program vocabulary by heart, this one is for you. If you want actually to learn how and when to use Docker and Kubernetes, look somewhere else.