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MLOps (IITM BS Degree)

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About MLOps (IITM BS Degree)

This course aims to give students a comprehensive understanding of Machine Learning Operations (MLOps). MLOps is a paradigm to deploy and maintain machine learning models in production environments reliably and efficiently. The course will cover various aspects of MLOps, including model development, model deployment, monitoring, and optimization. Students will gain hands-on experience with popular MLOps tools and frameworks, enabling them to manage machine learning workflows effectively to deliver robust and scalable ML solutions.

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MLOps Jan-26 (ET) Session

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MLOps Jan-26 (ET) Session

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About RealtimeSubCount.com

RealtimeSubCount.com tracks live YouTube subscriber activity with a faster page shell, local caching, and analytics modules that do not block the main counter from loading. This page is designed to keep the count visible first while the deeper charts and supporting widgets stream in behind it.

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The page combines cached API data and fast refresh polling to stay responsive while still tracking changes closely. Exact public YouTube counts can lag, but the page updates far more frequently than the default channel view.

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