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Coursera MLOps Specialization Course (DeepLearning.AI) Notes\n\n### Lesson Notes for Machine Learning Engineering in Production (MLOps) Specialization course (by DeepLearningAI and Andrew Ng) on Coursera\n\n- Notes compilation based on lecture slides and video transcripts\n- Link to course: https://www.deeplearning.ai/program/machine-learning-engineering-for-production-mlops/\n\nCourse 1: Introduction to Machine Learning in Production  \nCourse 2: Machine Learning Data Lifecycle in Production  \nCourse 3: Machine Learning Modeling Pipelines in Production  \nCourse 4: Deploying Machine Learning Models in Production  \n\n### Summary Articles\nCourse 1: https://towardsdatascience.com/key-learning-points-from-mlops-specialization-course-deeplearning-ai-andrew-ng-5d0746605752    \nCourse 2: https://towardsdatascience.com/key-learning-points-from-mlops-specialization-course-2-13af51e22d90  \nCourse 3: https://towardsdatascience.com/key-learning-points-from-mlops-specialization-course-3-9e67558212ee  \nCourse 4: https://towardsdatascience.com/key-learning-points-from-mlops-specialization-course-4-ee39bbd2864b\n\n___\n### Status\nCourse 1: Notes completed ✅   \nCourse 2: Notes completed ✅  \nCourse 3: Notes completed ✅   \nCourse 4: Notes completed ✅  \n\n___\n#### Feedback/Suggestions\nFeel free to reach out to me on LinkedIn (https://linkedin.com/in/kennethleungty) or Medium (https://kennethleungty.medium.com)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkennethleungty%2Fmlops-specialization-notes","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkennethleungty%2Fmlops-specialization-notes","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkennethleungty%2Fmlops-specialization-notes/lists"}