Resources & References
Duration: 2 min
Curated resources to deepen your understanding and continue learning beyond this course.
📚 Resources & References
- MLflow Documentation — Experiment tracking & model registry
- DVC (Data Version Control) — Version control for ML projects
- Made With ML — MLOps course with best practices
- Evidently AI — ML monitoring and observability
- Google MLOps Guide — MLOps maturity levels