Chevron Left
返回到 DevOps, DataOps, MLOps

学生对 Duke University 提供的 DevOps, DataOps, MLOps 的评价和反馈

4.1
191 个评分

课程概述

Learn how to apply Machine Learning Operations (MLOps) to solve real-world problems. The course covers end-to-end solutions with Artificial Intelligence (AI) pair programming using technologies like GitHub Copilot to build solutions for machine learning (ML) and AI applications. This course is for people working (or seeking to work) as data scientists, software engineers or developers, data analysts, or other roles that use ML. By the end of the course, you will be able to use web frameworks (e.g., Gradio and Hugging Face) for ML solutions, build a command-line tool using the Click framework, and leverage Rust for GPU-accelerated ML tasks. Week 1: Explore MLOps technologies and pre-trained models to solve problems for customers. Week 2: Apply ML and AI in practice through optimization, heuristics, and simulations. Week 3: Develop operations pipelines, including DevOps, DataOps, and MLOps, with Github. Week 4: Build containers for ML and package solutions in a uniformed manner to enable deployment in Cloud systems that accept containers. Week 5: Switch from Python to Rust to build solutions for Kubernetes, Docker, Serverless, Data Engineering, Data Science, and MLOps....

热门审阅

ND

Aug 21, 2024

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

RV

Jun 23, 2024

Extremely usefull to understand concepts of MLOps, containers, CI/CD

筛选依据:

26 - DevOps, DataOps, MLOps 的 43 个评论(共 43 个)

创建者 Fathi Z

Sep 26, 2025

Amazing

创建者 Sanjib R

Aug 27, 2024

Good.

创建者 Bharathi B H

Feb 24, 2025

Good

创建者 Maradani V K

Jun 16, 2024

Good

创建者 Vaishnavi K

Apr 19, 2024

good

创建者 ALISHA N K

Jun 29, 2024

na

创建者 Gitika C

Sep 16, 2024

.

创建者 Runjhun T

Dec 1, 2024

VERY USEFUL

创建者 Ilaiyaraja S

Jan 2, 2025

Excellent

创建者 Prasad V

Nov 28, 2024

Great

创建者 SAYAN G

Sep 27, 2023

Great

创建者 Vaisakh S N

Nov 13, 2024

good

创建者 Jacob H

Sep 19, 2025

There are interesting things in this course for sure, and Noah is definitely a smart guy! However, a lot of the lessons seemed to be phoned in. I lost count on how many times we covered how to make a Makefile for a project, and some of the classes are basically a twitch stream watching things compile and code being debugged. This course definitely needs a refresh and polish up. Also, AWS Cloud9 is no longer available to new customers, so those sections can't be followed along with.

创建者 SANJAY B

Aug 3, 2023

Very fast approach to teach, lost in some videos too

创建者 Sherine B

Oct 2, 2025

Overall, I am unhappy with the course, but I still give it two stars for the work involved in preparing it. I enrolled in this course partly due to Duke University's reputable name, but I was disappointed by the content and am now unclear about how much Duke was actually involved. The course felt like a collection of previously made personal YouTube videos loosely strung together, lacking coherent flow and structure. It seemed more like a business venture than an educational experience. The topics were often jumbled and introduced without sufficient background, making the overall course painful to follow. Additionally, the definitions on the key terms pages frequently did not correspond to the relevant section or module. There were also quite a few advertisements promoting the instructors' books, along with repeated claims about their expertise. An entire module was dedicated to Rust in this MLOps course. For his Book? My recommendation is to use this course primarily as a starting point to take notes of the topics mentioned, then seek out other sources on the internet to go deeper. In my opinion, relying solely on the course videos for understanding is not a wise investment of time.

创建者 Mykhaylo K

Feb 12, 2025

Provides some nuggets of insight, but overall not worth it - typical regurgitated corporate training.

创建者 Farhad D

Apr 6, 2025

The worst course that I passed in my whole life! If I could give zero starts, I would do that! - Videos are probably from another course and a lot of them start from middle! - Very general and non-coherent lecture and info related to MLops. - Old videos, a lot have change in cloud services and frameworks and what they show do not work in many cases! - Order of materials are sorrowful, a lot of materials are missing! - You learn nothing useful, watching YouTube is more beneficial! - It was the waste of money. Unfortunately, I bought the whole specialization! - I suggest Coursera to archive this course.

创建者 Vardhaman A

Aug 16, 2025

- Very less actual important concepts coverage. - 70%-80% is sponsored content, none are asked in the Graded Assignment. - You can complete modules 2-5 without watching any of the lessons.