This repository contains materials for our Weights & Biases 201: Model Registry course.
Master the process of logging and managing models in a centralized model registry, allowing for an organized and efficient model management workflow.
Gain hands-on experience in accessing, evaluating, and automating downstream processes of models, aiding in robust model deployment and monitoring.
Learn to build dynamic, auto-updating reports showcasing model evaluation and automation processes, enabling clear communication with stakeholders.
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Notebooks can be run on your local system or via Google Colab
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If you have questions, you can ask them in Discord in the
#courseschannel