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Learner Reviews & Feedback for DevOps, DataOps, MLOps by Duke University
105 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
RR
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Very well explained and great step by step examples
RV
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Extremely usefull to understand concepts of MLOps, containers, CI/CD
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26 - 28 of 28 Reviews for DevOps, DataOps, MLOps
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 Mani K
•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