MLflowscikit-learn (or other flavors)PostgreSQL/SQLite (backend)MLflow UI/APIintermediate30 min
MLflow + model registry management
Centralized model lifecycle management enabling team collaboration, versioning, staging/promotion, lineage tracking, and production deployment in AI agent pipelines.
Prerequisites
- →Python 3.8+
- →pip install mlflow scikit-learn
- →MLflow tracking server (mlflow server --backend-store-uri sqlite:///mydb.db --default-artifact-root ./mlruns)
- →basic MLflow familiarity.
Further reading