Course Description:

• Understand challenges in the ML lifecycle: tracking, reproducibility, deployment
• Learn how MLflow simplifies end-to-end ML workflows
• Explore MLflow tools to manage and streamline ML development
• Gain skills to navigate and control all stages of the ML lifecycle

Chapter 1 - Introduction to MLflow

Chapter 2 - MLflow Models

Chapter 3 - MLflow Model Registry

Chapter 4 - MLflow Projects

https://app.datacamp.com/learn/tutorials/mlflow-streamline-machine-learning-workflow

https://app.datacamp.com/learn/tutorials/evaluating-llms-with-mlflow