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Learner Reviews & Feedback for MLOps Tools: MLflow and Hugging Face by Duke University

20 ratings

About the Course

This course covers two of the most popular open source platforms for MLOps (Machine Learning Operations): MLflow and Hugging Face. We’ll go through the foundations on what it takes to get started in these platforms with basic model and dataset operations. You will start with MLflow using projects and models with its powerful tracking system and you will learn how to interact with these registered models from MLflow with full lifecycle examples. Then, you will explore Hugging Face repositories so that you can store datasets, models, and create live interactive demos. By the end of the course, you will be able to apply MLOps concepts like fine-tuning and deploying containerized models to the Cloud. This course is ideal for anyone looking to break into the field of MLOps or for experienced MLOps professionals who want to improve their programming skills....
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1 - 4 of 4 Reviews for MLOps Tools: MLflow and Hugging Face

By Claudio V

Jun 2, 2023

Very good course, with effective exercises

By Sadaf W

Sep 7, 2023

It's an amazing experience.

By Vu M T

May 7, 2023

This course provides a basic understanding of MLFlow and HuggingFace platforms. It can be better if: - More hands-on lab with grading - More concise content. I feel Week 2, Week 3 and Week 4 can be combined into 1-2 weeks. Many contents are duplicated.

By Georgi K

Nov 14, 2023

I am taking the entire specialization, so this is my 4th review. By this point I have just given up on how poorly created and managed this course is. Just here to rate it 1 star and discourage anyone from taking it. Just do the HuggingFace NLP course better. And just a quick example of how bad this course is … week 3 has a duplicate video, basically 2 different videos playing the exact same video … automating packaging with azure container registry and automating packaging with docker hub … so, no big deal, technical error … however, 2 different learners have pointed this out 8 months ago and 5 months ago at the writing of this review and it still hasn’t been fixed. This is all you need to know about the level of this course and specialization. I know Noah is rolling out a second book on MLOps – Implementing MLOps in the Enterprise around Christmas `23 so I was thinking I’d threat myself and buy both his MLOps books for the holidays. This specialization completely discouraged me from doing that.