Hands On MLOps

Architecture

Mage AI : Workflow Orchestration or ML Pipeline

Frameworks Used

1. Model Training : Xgboost + Python

2. Web App : Flask

3. Experiment Tracking and Model Registry : mlflow

4. ML Pipeline : Mage AI

5. Deployment : Docker and Google Cloud Platform

6. Storage : Google Storage Bucket + PostgresQL DB