mxagar/mlops_udacity
These are my notes of the Udacity Nanodegree Machine Learning DevOps Engineer.
This resource provides comprehensive personal notes from the Udacity Machine Learning DevOps Engineer Nanodegree. It covers how to structure machine learning projects with clean code, build reproducible model workflows, deploy scalable ML pipelines, and implement model scoring and monitoring. This is for aspiring or current Machine Learning Engineers and DevOps professionals looking to apply best practices in MLOps.
No commits in the last 6 months.
Use this if you are a Machine Learning Engineer or DevOps specialist seeking structured learning materials and practical examples to master MLOps principles and build robust, production-ready ML systems.
Not ideal if you are looking for a plug-and-play tool or a finished MLOps platform, as this is a collection of educational notes and project examples.
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Mar 27, 2024
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