Back to DevOps, DataOps, MLOps
Learner Reviews & Feedback for DevOps, DataOps, MLOps by Duke University
120 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 - 29 of 29 Reviews for DevOps, DataOps, MLOps
By Gitika C
•Sep 16, 2024
.
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