100 Days of MLOps Challenge is LIVE [Free Program]
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📝 Description
The subject of this video is the announcement and overview of the "100 Days of MLOps Challenge," presented as a free program aimed at engineers looking to acquire practical Machine Learning Operations (MLOps) skills. The challenge is structured around 100 real-world, hands-on tasks designed to provide direct experience with current industry tools rather than relying on lectures or slides. Participants work through live environments with automated validation for immediate feedback.
The curriculum spans 12 different MLOps domains across three skill levels, culminating in a capstone project. Topics range from initial data versioning to advanced production concepts like canary deployments and drift-triggered retraining. The technological stack utilized includes tools such as DVC, MLflow, Evidently, Argo, Kubernetes, FastAPI, and BentoML. A key feature of the program is that all necessary environments are provisioned for the user, eliminating the need for initial local setup or incurring personal cloud expenses.
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