Projects MLOps
05
ML Training, Serving & Monitoring
Course project exploring the ML lifecycle through model experiments, a CI workflow, API serving, and monitoring. Combined FastAPI and Docker with Prometheus and Grafana to practice operating an ML service.
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Ownership
Personal Project
Role
MLOps Engineer
Team
Independent Project
My Role
- 01 Prepared the model training workflow and CI automation.
- 02 Exposed the trained model through a FastAPI service.
- 03 Added Prometheus metrics and Grafana dashboards for service monitoring.
Features
- 01 Model training pipeline
- 02 FastAPI model serving
- 03 CI workflow
- 04 Metrics collection
- 05 Monitoring dashboard
Impact
- Connected model development with deployment and operational monitoring practices.
Tech Stack
DockerFastAPIPrometheusGrafanaDagsHubGitHub Actions