MLOps 105 – Monitoring, Drift & Feedback Loops

(Weeks 9–10 | Lec 6 Hrs / Lab 18 Hrs / Ext 0 Hrs | 24 Total Hrs | 1.0 Credit Hrs)
Students will:

• Implement monitoring of model performance in production
• Detect data drift and concept drift
• Set up feedback loops for retraining
• Design alerting systems for AI anomalies
  Prerequisite: MLOps 104 – CI/CD for AI Pipelines
  Tools: Evidently AI, Prometheus, Grafana