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Learner Reviews & Feedback for Python Essentials for MLOps by Duke University
339 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
HH
Feb 4, 2025
Python best practices across development, testing & wrapping using API was well covered. Lectures on Python API frameworks can be more in detail.
VC
Mar 30, 2024
Me parecio super enriquecedor el contenido del curso.
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76 - 78 of 78 Reviews for Python Essentials for MLOps
By Arun G
•Jan 30, 2025
Very poor way of explaining the topics, and half the time the person is confused. It looks like the course was made in a hurry and just uploaded, lacks quality in teaching. No proper labs to practice.
By Anna P
•Oct 27, 2024
total waste of time/money. no labs, no hands work, quizzes "ahaha guess what is in my mind" learning materials are just reading out loud some basics from documentation. do not take this course!
By Dan H
•Dec 17, 2024
One of the worst python courses I've taken