This is a practical workshop with the goals of learning the following concepts:
- How to setup MLFLow, a tool for ML experiment tracking and model deploying, from zero to hero.
- How to track ML experiments with MLFLow
- How to put models to production with MLFLow.
- How to deploy models to production in AWS Sagemaker with just a couple lines of code.
- How to setup Apache Airflow, a powerful tool to design, schedule and monitor workflows.
- How to create workflows that take advantage of deployed models.
