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čæ”å›žåˆ° Python Essentials for MLOps

å­¦ē”ŸåÆ¹ Duke University ęä¾›ēš„ Python Essentials for MLOps ēš„čÆ„ä»·å’Œåé¦ˆ

4.3
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318 äøŖčÆ„åˆ†

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....

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VK

Aug 28, 2025

Overall a very good course. I had some prior experience with the subject, but this course helped me organize my knowledge better and approach the topics from a fresh perspective.

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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26 - Python Essentials for MLOps ēš„ 50 äøŖčÆ„č®ŗļ¼ˆå…± 74 个)

åˆ›å»ŗč€… Nicole D

•

Aug 22, 2024

Great learning resources, concise presentations, and clear explanations of all topics

åˆ›å»ŗč€… Adedoyin

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Nov 14, 2025

One of the best of the best courses out there for beginner's friendly to MLOps!

åˆ›å»ŗč€… Gary S

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Apr 30, 2024

I liked the opportunity to practice and experiment and challenge questions

åˆ›å»ŗč€… K P

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Aug 17, 2024

Very informative however I am having some experinence with Python already

åˆ›å»ŗč€… Oscar C

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Jan 21, 2025

A good course suggested for junior engineers and data scientist

åˆ›å»ŗč€… Jay Y

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Aug 13, 2023

Good intro and refresher, good pace and well presented

åˆ›å»ŗč€… Fathi Z

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Sep 21, 2025

Alfredo Deza was amazing, he is really a good teacher

åˆ›å»ŗč€… Tharun k G

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May 9, 2024

Exactly what I was looking for, Thanks a lot!

åˆ›å»ŗč€… Aditya D

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May 25, 2024

Good course for getting started in ML OPS

åˆ›å»ŗč€… Mary R

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Apr 30, 2025

good an excellent way of learning

åˆ›å»ŗč€… Kasthuriraajan R

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Mar 3, 2023

It is very helpful to me .

åˆ›å»ŗč€… James E V

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Jul 23, 2023

Amazing course! thank you

åˆ›å»ŗč€… Vania G

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Aug 20, 2024

completo y satisfactorio

åˆ›å»ŗč€… Mahesh S

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Jun 8, 2025

It's a good course

åˆ›å»ŗč€… Girish C S

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Dec 10, 2024

Very good content

åˆ›å»ŗč€… Adham E

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Jul 23, 2025

excellent course

åˆ›å»ŗč€… Cristian F

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Oct 30, 2025

Like it a lot

åˆ›å»ŗč€… Abdul J

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Aug 8, 2023

Best n all

åˆ›å»ŗč€… Takahide M

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Feb 10, 2025

very good

åˆ›å»ŗč€… YUQIN L

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Aug 18, 2024

Gracias!

åˆ›å»ŗč€… Pradeep

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Jan 4, 2024

its good

åˆ›å»ŗč€… uuTeam

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Jun 3, 2023

Amazing

åˆ›å»ŗč€… Deepika M S

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Jan 1, 2025

good

åˆ›å»ŗč€… Vaishnavi K

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Apr 21, 2024

good

åˆ›å»ŗč€… Ricardo B P

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Nov 17, 2025

I appreciated the "Python Essentials for MLOps" course overall. However, I found that Module 5 - Applied Python for MLOps did not align well with the content of the previous four modules. Additionally, the Automation with Python assignment seemed disconnected from the lessons taught in the course. I recommend a review of Module 5 to ensure its content is more cohesive with the other modules and to enhance the relevance of the assignments. This adjustment could significantly improve the learning experience for future participants.