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

4.2
stars
117 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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1 - 25 of 28 Reviews for DevOps, DataOps, MLOps

By Georgi K

Nov 5, 2023

I am subscribed to the entire specialization and was already disappointed by the first course. I really wanted the second course to be better but unfortunately it was not. This course feels like it was put together in a rush and never reviewed. The videos aren’t logically connected leading to some bigger lesson … it’s just a bunch of random videos Noah reused from his YouTube channel. I think putting a 2 plus hour video completely disregards Coursera’s style of structuring a course. Often times videos aren’t ordered in the slightest way – we get a massive 2 hour video on a tool and then, AFTER, a short 4 minute video introducing the tool and topic. There is no focus towards a set of tools used in the course, it’s more of a generic “you can use this”, “you can also use that”, “this also exists”. The course feels like one big chaotic introduction to a lot of different things that are out there on the market. The quizzes were a joke … I barely made it to the middle of week 3 and then just completed the remaining 3 quizzes without even looking at the videos. For me, this second course, similar to the first one, was a waste of time.

By Jędrzej R

Jun 5, 2023

Pretty decent course, however a lots of materials overlap. I feel like it's not so well structured, it's hard to get the most important takeaways from the course. It also lacks from some practical exercises, you can't get much of the labs.

By Minja B

Nov 24, 2023

This course covered a lot of useful tools and concepts but it is so poorly structured that it gave me headaches. A completely new framework is covered in a 3min video in week 1, prompting me to spend 2.5h googling what that is, only to find an introductory video to it in week 3! And this happened several times. It assumes I am familiar with cloud platforms (why? who is the course for? I'm a data scientist, and I'm obviously not the target audience) and provides no free option for me to practice. There are no graded assignments and the quizzes are too easy, I passed the ones in week 4 and 5 before watching a single video, a possible strategy is just to pick the answer with the largest number of words. Overall, I feel the author did not bother at all to watch and read his own course after making it by throwing in a bunch of pre-existing unrelated materials, leaving the course completely lacking flow and structure. Please hire someone to review it.

By Ramzi R

Aug 2, 2023

The worst course I have ever taken in coursera, I don't know how Coursera has allowed this type of courses.It's like they select a bunch of different video from Youtube and put them into this course without any syncronization

They said they will learn youRust and then you find he writes all codes with Copilot without any explantions and suddenly the video finishes without al leaset a link to their code

The worst course ever , I don't recommend it at all

By KANJAR D

Aug 22, 2023

It was very informative but the live coding videos are too long and may be the content can be restructured.

By Mihai B

Apr 22, 2024

One of the worst courses I have done on Coursera so far, it's like a soup, with tons of concepts mixed together so that you don't understand anything. Seems to be a course created with chatGPT (and the MLOps book of the author is similar, wasted money).

By Raul V

Jun 24, 2024

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

By riccardo

Jun 25, 2024

Very well explained and great step by step examples

By Nao A

Jul 29, 2023

Some interesting live examples were shown but overall it was a bit repetitive on for my taste relying too much on paid services and ignoring free open source platforms completely. And often the connection to MLOPs as a whole was missing.

By Jarosław M

Sep 5, 2024

Random videos glued together with shallow levels of knowledge to share.

By Tobias C

Jul 13, 2023

Not interesting for me. Although the overall overview might be very good, it didn't motivate me for any kinds of Ops. To show a code editor doing things is also not helpful. Why not explaining things step by step in easy to understand bits and bites? Also unenrolling does not seem to work it seems. For other courses unenroll worked.

By Ray

Jul 20, 2023

You are juts a glorified IDE user! Quit saying lets deep dive into ... . You do not deep dive into anything and I have watched a few things from you on different platforms. You just repeat yourself showing non-sense which goes under constant modification and facelift by the providers! I am unenrolling!!

By AG S

Aug 13, 2023

Until week 5, I would consider it a 3-star course. However, it's quite annoying that week 5 is entirely dedicated to deprecating Python (which was the language used throughout the course until that point) and primarily forcing the students to embrace and adopt Rust.

By Leela M S

Sep 16, 2024

The course content is not sturctured properly and content is repetative in few of the modules.

By Andrew P

Sep 27, 2023

Too political and in the end the opinion was wrong

By Nicole D

Aug 22, 2024

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

By Rajagopal P

Sep 27, 2023

good course for good overview of Ops(Dev+Data+ML)

By Shubham S

Jun 5, 2024

Very good for upskilling and lerning new tech.

By TENDILPRASAD.D

Mar 23, 2024

Its a Great Learning Platform for all people

By Giuseppe B

Jul 25, 2024

A great push towards innovation

By Haridasu S

May 21, 2024

Excellent

By Sanjib R

Aug 27, 2024

Good.

By Maradani V K

Jun 16, 2024

Good

By Vaishnavi K

Apr 19, 2024

good

By ALISHA N K

Jun 29, 2024

na