Build an MLOps system of record for your ML lifecycle
Track experiments, model artifacts, and lineage
Implement CI/CD workflows with automatic evaluation and deployment pipelines
What to expect?
We show how to build a system of record to track the entire model lifecycle from training to evaluation and deployment through a deep dive demo by one of the expert ML engineers from Weights & Biases.
What you will learn:
Who should attend: ML engineers, ML platform engineers, Devops/MLOps engineers