Key Outcomes
- CI/CD pipelines for model lifecycle management
- Model monitoring, drift detection, and alerting
- Scalable deployment patterns for enterprise teams
Service
Machine Learning Operations
Build reliable ML delivery systems that move from experiment to production with monitoring and control.
Focus Areas
- Model deployment
- Monitoring
- Reliability engineering