Learner Reviews & Feedback for DevOps, DataOps, MLOps by Duke University
About the Course
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-tr...
Top reviews
ND
Aug 22, 2024
Great learning resources, concise presentations, and clear explanations of all topics
RV
Jun 24, 2024
Extremely usefull to understand concepts of MLOps, containers, CI/CD
26 - 39 of 39 Reviews for DevOps, DataOps, MLOps
By Sanjib R
•Aug 27, 2024
Good.
By Bharathi B H
•Feb 24, 2025
Good
By Maradani V K
•Jun 16, 2024
Good
By Vaishnavi K
•Apr 19, 2024
good
By ALISHA N K
•Jun 29, 2024
na
By Gitika C
•Sep 16, 2024
.
By Runjhun T
•Dec 1, 2024
VERY USEFUL
By Ilaiyaraja S
•Jan 2, 2025
Excellent
By Prasad V
•Nov 28, 2024
Great
By SAYAN G
•Sep 27, 2023
Great
By Vaisakh S N
•Nov 13, 2024
good
By SANJAY B
•Aug 3, 2023
Very fast approach to teach, lost in some videos too
By Mykhaylo K
•Feb 13, 2025
Provides some nuggets of insight, but overall not worth it - typical regurgitated corporate training.
By 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.