The information in this course is repeated over and over. You basically learn the same stuff, it could be cut in half.

the keras part was totally ignored

Code is littered with non-fatal errors, inconsistent spacing in every line. Many core methods used are deprecated by a decade, have no use anymore, but their implementation is a key focus in the course. All quiz questions have zero connection to the topic, library or application, but are exclusively focused on the exact details of the preceding labs, like "which of these smooth identical looking concrete pictures was the third sample of the fifth batch from the test set?". The dataset sizes in the labs are also absurd, unzipping literally broke the provided environment multiple times, taking hours at a time to complete, just to crash in the end. The training times are just as absurd, spent the last 4 hours training a model on the provided dataset with the required parameters for a single epoch, and it's been stuck on the last 57 seconds for over 30 minutes, unlikely to finish. Just pain, and practically no use use.

Learning content was good, but making assignments was a nigthmare, I could not set up an IBM Cloud account, becasue they could not verify my payment card, when i asked them to help me, they just responded "We have reviewed your account/transaction and will not be able to offer services. No further information will be disclosed regarding this matter. Any card authorizations will reverse within 24-72 hours depending on the issuing bank.". They ghosted me completely and did not want to help. I do not recommend. It's no wonder that with this kind of customer attitude IBM is far behind the competition today.

This course is useless. The materials need to be updated. The Jupyter Notebook environment, unfortunately, cannot handle the course tasks. For example, while working on the practice in module 4, I had to wait 20 minutes for the model to download, then about an hour for the archive to extract. In the end, the Python engine froze, and I could no longer restart it or re-enter the lab.

The videos and learning material are great. Same for the instructors. But working on the assignments is so draining. The datasets take hours to load and the models take ages to train. The kernel keeps crashing. I spent days on a project that should have been done in minutes.

The tests were highly underwhelming and too easy. It felt like the course creators do not have a high opinion of their students.

Heavily flawed A.I Grading system. Failing and invalidating those reaching this point.

The code doesn't work with tensorflow 2