mlops-course and mlops-specialization
Both projects are educational resources for learning MLOps, with "GokuMohandas/mlops-course" being a comprehensive course on designing and deploying ML applications, and "mattborghi/mlops-specialization" being notes/resources for a Coursera specialization, making them complementary in the MLOps learning ecosystem.
About mlops-course
GokuMohandas/mlops-course
Learn how to design, develop, deploy and iterate on production-grade ML applications.
This course teaches you how to build, deploy, and continuously improve machine learning applications for real-world use. It guides you from initial model development and experimentation to creating robust, production-ready systems. The course takes in raw data and model designs and outputs deployable, scalable machine learning services, designed for software engineers, data scientists, and technical leaders working with ML.
About mlops-specialization
mattborghi/mlops-specialization
Machine Learning Engineering for Production (MLOps) Coursera Specialization
These notes summarize the Machine Learning Engineering for Production (MLOps) Coursera Specialization. They condense key concepts and workflows for building and managing machine learning systems in real-world environments. Data scientists, machine learning engineers, and MLOps practitioners who are learning or solidifying their understanding of production-grade ML systems will find these notes useful.
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