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Weights & Biases 201: Registry

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Weights & Biases 201: Registry
This compact course, led by ML Success Engineer Ken Lee, dives into advanced model management utilizing Weights and Biases for logging, registering, and managing ML models.
1 Hour
Free

Sign up for this course to:

  • Learn to log to a centralized registry: Master the process of logging and managing models in a centralized registry, allowing for an organized and efficient model management workflow
  • Master model management: Gain hands-on experience in accessing, evaluating, and automating downstream processes of models, aiding in robust model deployment and monitoring
  • Develop reporting techniques: Learn to build dynamic, auto-updating reports showcasing model evaluation and automation processes, enabling clear communication with stakeholders

Curriculum

  • Welcome to the course
  • Logging and registering models in Weights & Biases
  • Automated model evaluation and reporting in Weights & Biases
Enroll for free
Course instructor

Ken Lee

MLE Weights & Biases
Ken Lee is a Success Machine Learning Engineer at Weights & Biases, helping customers implement ML Ops best practices. He works with ML teams across industries, from burgeoning start-ups to large enterprises. Previously he has worked as a consultant, data engineer, and data scientist.
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