This course contain peer review grading.

Please note that you might not get your grading unless you actively look for peers in the forum.

You might not get the correct grade cause not everyone is skilled in grading assessment.

You might not pass the course cause your peer might fail your assessment without properly grading.

As a technical course I have no idea why IBM choose to have peer review grading as the final assessment, they should at least put a warning on the course description.

I have just finished a Red Hat training and is from another league. it includes Guided Hands-on and written training support, real-life scenarios.

This training hugely lacks the hands-on/ real-life approach like:

here is Docker. this is the command line this is the file, etc.

The voice seems to be text to speech. (I hope I am not wrong because I do not intend to offend anyone. My only point is that I don't see the target of the training. If you want me to use Docker on IBM cloud, let's see how we can actually use it)

I went through the first week but I decided it is not well-invested time. Overall it is good if you know nothing about Docker but it will not make you familiar with it either.

This was a really bad course.

I wanted to learn docker, and they do cover some basic docker-related stuff, so I gave an extra star.

The first four weeks are assessed by multi-choice quizzes, but they aren't challenging; and some of the questions are open to debate.

There are hands-on labs that _should_ help you secure your understanding of the concepts in the course. Great, I thought maybe I'll get to work out what commands I ought to use to achieve X with docker / K8S.... Well, they just have copy-and-paste answers sitting next to the sandbox command-line tool.

The hands-on labs aren't assessed; also some of them weren't working when I worked through them.

This course gives a nice overview about containers. That's about it, however.

Many command line examples and configuration files are only explained vaguely and the labs (including the final graded one) resemble guided tours rather than playgrounds. One or two of the labs were broken and the forums are full of calls for help or assistance that are being ignored by mentors (should there be any).

Finally, the graded quizzes are often phrased imprecisely or delve on trivia and things that were only mentioned in passing.

I have to be very honest, I found this course a bit of a problem. Some of the practicals didn't work.

Also the final assignment was very clear either.

The course content is fine, but the final project is an absolute mess and is impossible to complete.

Like all the other courses in the IBM Cloud Fullstack developer certification, the quality is extremely poor. Please don't waste your time or money on these courses or the certification.

I would love so much to give the course more than one star. As the course started, I was very happy to see that two wonderful gentlemen are going to lead the course. BUT to my surprise all video materials have been read by an awful AI, which made my experience so bad at understanding or gaining any benefits of these videos. Labs were very good but materials overall could be so much better explained and organized. I'm sorry again for the one star but maybe this would help to address some of these issues.

This is not a course. It's just a demo to show that Docker is good! You will learn nothing from a narrator who I don't know if they are human or AI. Just know that without any emotion, she just reads a script, and it's not an educational course! Shame on IBM.

Just trash. Microsoft powerpoint presentation and a completely soulless narrator who doesn't know what she is saying. Time wasted. Reading documentation would have been more fun. Two stars and not one because preparing lab environments seems like a big effort.

Material and concepts covered extremely quickly, and labs that were completely unusable.

Course is really good, lots of practice on the command line. But for the final graded assignment, you should have taken screenshots of your progress throughout the course. You are only told by the end of the course where lots of information are not available any longer, and you have to recreate most of the steps to take the necessary screenshots to complete the course.

- automatic transcription (english) is sometimes not very helpful because of punctuation errors; when reading this, the question often arises as to what this belongs to now - automatic translation (german) even less helpful, as technical terms have been translated: (Docker) Image -> Bild, ... - sequence of facts; partly unstructured (sometimes here a fact about A, then a fact about B and then again about A) - sometimes too technical; what developer needs that? - errors in transcription: - qubectal or cubectal instead of Kubectl - "It is better to define the desired state in a shared configuration file than when you deploy. Kubernetes automatically determines the necessary operations." instead of "It is better to define the desired state in a shared configuration file. Than when you deploy Kubernetes automatically determines the necessary operations." - "Kubectl get commands allow you to listen services" instead of "Kubectl get commands allow you to list services" - "and and symbol" instead of "and Ansible" (Modul 4 > Operators) - markings and language are sometimes not synchronized (Modul 3 > ConfigMaps > ~4:00) - problems with the lab - the output in the terminal is sometimes mixed up (i saw this on screenshots in the peer-review, too) - Modul 3 > Lab: Practice Lab: Autoscaling and Secrets Management > Exercise 2: Implement Vertical Pod Autoscaler (VPA): at the end it says: "You can stop the Kubernetes proxy and load generation commands on the other two terminals by pressing CTRL + C before continuing further", but no proxy was started before - i misses a handout with the pics in the video and some helpful text; as i said before, transcriptions was not very helpful there were sometimes errors in the *.yaml-examples shown - Modul 3 > Autoscaling apiVersion: autoscaling/v1 kind: HorizontalPodAutoscaler metadata: name: hello-kubernetes namespace: default spec: maxReplicas: 5 minReplicas: 2 scaleTargetRef: apiVersion: apps/v1 kind: Deployment name: hello-kubernetes targetCPUUtilizationPercentage: 10 instead of apiVersion: autoscaling/v1 kind: HorizontalPodAutoscaler metadata: name: hello-kubernetes namespace: default spec: maxReplicas: 5 minReplicas: 2 scaleTargetRef: apiVersion: apps/v1 kind: Deployment name: hello-kubernetes targetCPUUtilizationPercentage: 10 - Modul 3 > Rolling Updates > ~0:45 livenessProbe: httpGet: path: / port: 9080 initialDelaySeconds: 300 periodSeconds: 15 readinessProbe: httpGet: path: / port: 9080 initialDelaySeconds: 45 periodSeconds: 5 instead of livenessProbe: httpGet: path: / port: 9080 initialDelaySeconds: 300 periodSeconds: 15 readinessProbe: httpGet: path: / port: 9080 initialDelaySeconds: 45 periodSeconds: 5

Course is well-structured, but:

- It is very basic. We are only touching some k8s concepts

- Video are way too abstract. No-one is showing you how this theory could be applied, just some general concept that you can't get idea of. Also it is just a written text, so robot is reading it.

- Hand-ons are very basic too. Smth like 'we provide all of the configuration for you, just run kubectl apply'

- Final assessment is very basic also

Seems like a decent overview. The course is very specific to IBM cloud, so if you are looking for a more agnostic course, this may not be for you.

The course requires you to create a free account from cloud.ibm.com but due to a change in IBM policy, you can't do that anymore. You need to enter your credit card and create a non-free account.

Anyway, I think it is ok to pay some amount and create my own account to complete this course. But no success, the site charged an amount from my credit card while giving an error on the welcome page. I gave up and took another course.

As the information in the course is outdated, I am dissappointed.

I audited this course, but it was pretty much what I hoped for. Nice hands on exercises that are the core of a good training course for me.

If you are coming to learn about docker & kubernetes, there are sure better resources than this.

Dense, boring and of little utility. Just a readout of terms without proper explanations.

The IBM cloud account creation did not work. The support had to do it manually. The outcome was an account, which was not authorised to create a namespace, which was one of the first instructions in a lab. I hope support will fix this.

EDIT: Support did not fix the account, they created the namespace manually and got back to me, of course the next step failed immediately as I was no able to create a Natural Language Understandin serive required for the final exam. A staff member in the discussion forum replied and claimed I could use a pay-as-you-go account even though a working trial account was part of the course I am paying for. This is literally the worst customer experience I ever whitnessed.

One of the worst courses I ever had. 1) Information is given poorly 2) The videos do not have any sense because most of them are just voiced text with pictures without describing things in an understandable way 3) The assignments it is just copy/paste 4) The platforms are bugged 4) Many people complain about the quality of the materials, but I haven't even seen detailed answers and plans or even promises to change it. In summary i think it is a shame for IBM to have this course.

It's like textbook, only gives concepts with very few examples. Explains the 'what it does' not 'how it does it'. Worst of all, it is very lacking in labs, should provide at least 2 practice examples for each week topic.

Absolute worst. The machine voice is annoying already, and there is no explanation by a human instructor nor even a glimpse of effort to make the topic understandable. Learned nothing. Absolute garbage.

Too much information on Kubernetes. It should be taken slowly, step by step. Useless tutorial as it goes to advanced level. I have to study too much from elsewhere.

The material is great, thorough but it's a friendly introduction to various container technologies and with the opportunity to practice, not only watch. The lab was a bit hard to work with because there were various problems/bugs with it every now and then, but the course forum was helpful and I could even help others, so overall it was a great experience.