Machine Learning in Production in Python

Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.

Learn how to use MLflow to simplify the complexities of building machine learning applications. Explore MLflow tracking, projects, models, and model registry.

Perform a machine learning experiment to find the best model that predicts the temperature in London!

Learn about the challenges of monitoring machine learning models in production, including data and concept drift, and methods to address model degradation.

This course covers everything you need to know to build a basic machine learning monitoring system in Python

Explore Data Version Control for ML data management. Master setup, automate pipelines, and evaluate models seamlessly.