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学生对 Duke University 提供的 Python Essentials for MLOps 的评价和反馈

4.3
294 个评分

课程概述

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....

热门审阅

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.

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26 - Python Essentials for MLOps 的 50 个评论(共 68 个)

创建者 Gary S

Apr 30, 2024

I liked the opportunity to practice and experiment and challenge questions

创建者 K P

Aug 17, 2024

Very informative however I am having some experinence with Python already

创建者 Oscar C

Jan 21, 2025

A good course suggested for junior engineers and data scientist

创建者 Jay Y

Aug 13, 2023

Good intro and refresher, good pace and well presented

创建者 Fathi Z

Sep 21, 2025

Alfredo Deza was amazing, he is really a good teacher

创建者 Tharun k G

May 9, 2024

Exactly what I was looking for, Thanks a lot!

创建者 Aditya D

May 25, 2024

Good course for getting started in ML OPS

创建者 Mary R

Apr 30, 2025

good an excellent way of learning

创建者 Kasthuriraajan R

Mar 3, 2023

It is very helpful to me .

创建者 James E V

Jul 23, 2023

Amazing course! thank you

创建者 Vania G

Aug 20, 2024

completo y satisfactorio

创建者 Mahesh S

Jun 8, 2025

It's a good course

创建者 Girish C S

Dec 10, 2024

Very good content

创建者 Adham E

Jul 23, 2025

excellent course

创建者 Abdul J

Aug 8, 2023

Best n all

创建者 Takahide M

Feb 10, 2025

very good

创建者 YUQIN L

Aug 18, 2024

Gracias!

创建者 Pradeep

Jan 4, 2024

its good

创建者 uuTeam

Jun 3, 2023

Amazing

创建者 Deepika M S

Jan 1, 2025

good

创建者 Vaishnavi K

Apr 21, 2024

good

创建者 Claudius S

Oct 20, 2023

A fast-paced overview over Python fundamentals with ML in mind. Hardly anything practical, so most suited for people who want to get a refresher or already know the core principles and want to transfer their knowledge to how it is done in the Python world.

创建者 Jesse R

Jan 21, 2025

I really enjoyed the technical depth this course. However, the labs at the end are too vague and I need concrete examples to work with. Perhaps use the examples introduced through each module and have students access sandboxes earlier on.

创建者 Marcela H B

Jun 9, 2023

One of the best Python courses that I had done, my background is in Data Science not in Engineering. I think that is an advance course since a vast number of concepts are well explained so quickly.

创建者 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