As someone who has subscribed to the entire specialization on “MLOps” marked at “Advanced level” I think it is ridiculous to begin with an explanation of python variables, loops, conditions, functions and classes. This whole course feels like a reach for content for the entire specialization. Easy topics like creating a venv are explained multiple times, but there was not even a sentence on the max_length argument for one of the tokenizers used later on in the course. Week 5 was a complete mess with different topics explained seemingly out of nowhere with no clear connection to each other. The flask and fastapi videos were good but very shallow. Even worse, week 5 sections 2 and 3 use the exact same video as introduction and recap which is just lazy work in my book. I am hopeful the remaining 3 courses will be better but unless required to take this course for the entire specialization, don’t waste your time with it.

Was very unclear what is being done, how is it being done and why. The resources such as the notebooks that the instructors were using are not available or pointed to. Could not follow the course properly.

For a specialisation that is marked as "Advanced Level" and a course named "Python Essentials for MLOps" where the accent is on MLOps this course is an embarrassment. The content starts with explaining the most basic things you can imagine in Python - variables, if/else conditions, etc. I assume that anyone who knows what MLOps is, knows how to declare Python variables and how to write for loops. I expected some advanced level tutorials but got just an advertisement for the course instructors' books, and a series of videos that just don't seem connected to each other, and really, look like they are re-used from somewhere else. I regret paying the subscription.

It shows a variety of tools to build useful things like CLI applications, APIs and some Azure cloud

however none of things in this course was explained in detail

Overall, with some googling it was a great course.

Well structured course and nicely presented by Alfredo. Some suggestions for improvement -> The labs could be made into small tasks which participants will try to fulfill followed by a lecture on the solution. Zooming the video while explaining some of the code examples would enhance the experience.

I recently completed this course and found the subject matter very interesting. However, I was disappointed with the instructor's ability to communicate effectively in English. Unfortunately, this hindered the transmission of knowledge. Watching the course videos felt like a waste of time as the instructor used numerous meaningless phrases instead of delivering clear and concise information. It seemed as though the instructor was constantly struggling with his English. This made it difficult to follow along and fully grasp the content. I hope future iterations of this course will improve in this regard, as the topic itself has great potential.

First four modules are not bad (thus two stars). The fifth module - MLOps - is a disaster. No detailed explanation, no idea what is happening in course, the tests include a few questions which are not even covered in the course (such as GitHub Actions), exercise notebooks are empty or missing in some cases... I decided to opt out of the specialisation after completing this course (the first of the series) seeing how MLOps was covered.

Absolute waste of time. HEADACHE.

It is very good for those getting into the field of MLOps

Quick review of important libraries. Great explanations.

It's a basic course

The course gives you a good direction. But sometimes is complicated to get in the flow, let's say. The teacher has great intention, but he gets lost sometimes.

not in depth enough.

This course was a gentle but comprehensive introduction to MLOps with Python. I loved the labs given, along with several reading notes that helped me understand things even more after the videos. The instructor, Mr. Alfredo, has a good teaching style, with concise and straight-to-the-point explanations during various tutorials. I highly recommend this course for any beginner, even a beginner level-0, because it also has enough introduction to Python programming.

The course is well organized and breaks down each topic into manageable parts. The instructor is great. The live coding parts of the videos were very helpful. He anticipated what learners would be thinking and modified code to show what happens when it's coded differently. Great course!

Overall a very good course. I had some prior experience with the subject, but this course helped me organize my knowledge better and approach the topics from a fresh perspective.

It is an excellent and well-explained course in most topics; the last week could dive a little more into the topics it explained but is ok for an overall explanation.

I consider that this essential course is magnificent but it may require that all labs work perfectly, some are missed or miswritten and cause some issues or errors.

This course was great and highly applicable to my work. The content was relevant, well-structured, and provided practical skills that I can directly use in my job.

Python best practices across development, testing & wrapping using API was well covered. Lectures on Python API frameworks can be more in detail.