- Experiment Tracking
- Model Evaluation
- Model Packaging
- Model Versioning
- Model Deployment
- Model Monitoring
- Model Orchestration and pipelining
Idea here is to provide the detailed implementation of building end-to-end ML pipeline and cover all the specifics about deploying the ML model in production and How to maintain it after that.