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.

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.

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.

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.

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.

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.

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.

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.

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.

Amazing, if you have some python basics, but even if you don´t it gives a great overview. Well done :)

Feels a little slow but i understand that is python basic, also i would like more graded labs

Great learning resources, concise presentations, and clear explanations of all topics

I liked the opportunity to practice and experiment and challenge questions

Very informative however I am having some experinence with Python already

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 .