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 will learn:

• 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

Who should attend:

ML engineers, ML platform engineers, Devops/MLOps engineers