MLOps Experiment Tracking Template
Track experiments, compare runs, register artifacts, and prepare production handoff notes.
A practical MLOps starter for learners who want reproducible experiments instead of one-off notebooks: run tracking, metrics, artifacts, model registry notes, promotion gates, and monitoring handoff.
Price: $19. Difficulty: Intermediate. Estimated completion time: 4-7 hours.
What is included
- Tracking scaffold
- Run comparison notes
- Registry checklist
- Production readiness checklist
- CI/CD concept notes
Tech stack
- Python
- MLflow-style tracking placeholder
- scikit-learn
- Pandas
- FastAPI-ready artifact path
- Docker
- GitHub Actions concept
Learning outcomes
- Track ML runs reproducibly
- Compare model candidates with clear metrics
- Understand model registry and lineage basics
- Prepare a model for deployment and monitoring