MLOps engineering course

The aim of this project is to apply the CRISP-ML process on a machine learning project which begins with business and data understanding till model deployment and monitoring. The phases of the process are as follows:

Capstone Project

Phase I - Business and data understanding

Phase II - Data engineering/preparation

Phase III - Model engineering

Phase IV - Model validation

Phase V - Model deployment

Phase VI - Model monitoring and maintenance