MLOps / Data - CL-09 - MLOps for Active Agents

• Implement an MLOps pipeline to monitor, manage, and maintain AI agents in production
• Collect and validate data continuously; track performance metrics and trigger alerting
• Ensure agent behavior is reliable, observable, and auditable; enable proactive issue detection

Technologies/Tools:

• Python
• MLflow or similar experiment tracking
• Prometheus / Grafana
• CI/CD pipelines
• Data validation frameworks
• Kubernetes (optional)