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Learner Reviews & Feedback for DevOps, DataOps, MLOps by Duke University

4.1
stars
180 ratings

About the Course

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....

Top reviews

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

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26 - 40 of 40 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.

By 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.