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Learner Reviews & Feedback for Python Essentials for MLOps by Duke University

145 ratings

About the Course

Python Essentials for MLOps (Machine Learning Operations) is a course designed to provide learners with the fundamental Python skills needed to succeed in an MLOps role. This course covers the basics of the Python programming language, including data types, functions, modules and testing techniques. It also covers how to work effectively with data sets and other data science tasks with Pandas and NumPy. Through a series of hands-on exercises, learners will gain practical experience working with Python in the context of an MLOps workflow. By the end of the course, learners will have the necessary skills to write Python scripts for automating common MLOps tasks. This course is ideal for anyone looking to break into the field of MLOps or for experienced MLOps professionals who want to improve their Python skills....

Top reviews


Jan 9, 2024

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


Jun 15, 2024

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

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26 - 35 of 35 Reviews for Python Essentials for MLOps

By Julian G C M

Apr 2, 2024

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


Jun 13, 2023

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

By Victoria R M C

Mar 31, 2024

Me parecio super enriquecedor el contenido del curso.

By S K

Nov 13, 2023

Good but week 5 content should be more detailed.

By Facundo M G

Jul 17, 2023

Se notan muchos cortes en los videos y errores que ocurren en el codigo (durante el video) que el instructor no explica. Tambien hay detalles en la forma de organizar el codigo que no se explican apropiadamente. Creo que es una buena primera aproximacion a un curso introductorio pero que deben poner mas atencion a los detalles de como diseñar el codigo (incluso si se trata de un codigo básico).

By marco m y p

Oct 4, 2023

This course provides a good overview of toolset and techniques involved for building machine learning applications. I enjoyed the most, when several methods where presented for the same goal. It is up to the engineer to decide for the approach that works best for him.

By Perikles R

May 30, 2024

A rich enough course, but a bit unpolished. The labs are often either missing or not connected to the syllabus, there are topics assumed known (e.g. Containers and Docker) and there are minimal instructions for the labs. A lot of potential, but some polishing needed.

By Aku K

May 24, 2024

More exercises involving coding would be nice

By Stefan P

Mar 2, 2024

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.

By Javed S

Jan 12, 2024

Absolute waste of time. HEADACHE.