Webinar

Building a system of record for ML

What to expect
We will 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'll learn
Build an MLOps system of record for your ML lifecycle, track experiments, model artifacts, and lineage and implement CI/CD workflows with automatic evaluation and deployment pipelines.
Who should attend
ML engineers, ML platform engineers, Devops/MLOps engineers

Featured
speakers

Abraham
Leal
Senior Machine Learning Engineer
Weights & Biases