A good course suggested for junior engineers and data scientist

Good intro and refresher, good pace and well presented

Exactly what I was looking for, Thanks a lot!

Good course for getting started in ML OPS

It is very helpful to me .

Amazing course! thank you

completo y satisfactorio

Very good content

Best n all

very good

Gracias!

its good

Amazing

good

good

A fast-paced overview over Python fundamentals with ML in mind. Hardly anything practical, so most suited for people who want to get a refresher or already know the core principles and want to transfer their knowledge to how it is done in the Python world.

I really enjoyed the technical depth this course. However, the labs at the end are too vague and I need concrete examples to work with. Perhaps use the examples introduced through each module and have students access sandboxes earlier on.

One of the best Python courses that I had done, my background is in Data Science not in Engineering. I think that is an advance course since a vast number of concepts are well explained so quickly.

It is a good introductory course to the topic of mlops, although in the last week it is a bit dense since there are topics such as FASTAPI or FLASK or DOCKER, which require prior knowledge

The Courser covered a lot of things with keeping the number of videos low, but python environments in some of the labs were not already created.

Some more advanced Python (Flask, FastAPI, Azure, etc.) could have been explained in more depth and detail with practical labs.

Good (although basic) overview of python and essential libraries (numpy, pandas, ...).

Me parecio super enriquecedor el contenido del curso.

Good but week 5 content should be more detailed.

A little bit too fundamental for skilled MLE.