Back to Python Essentials for MLOps
Learner Reviews & Feedback for Python Essentials for MLOps by Duke University
294 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
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.
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.
Filter by: