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Learner Reviews & Feedback for Python Essentials for MLOps by Duke University
333 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
JC
Dec 10, 2024
Good (although basic) overview of python and essential libraries (numpy, pandas, ...).
XH
Aug 15, 2024
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.
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76 - 77 of 77 Reviews for Python Essentials for MLOps
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