MLOps 102 – Production-Ready ML Pipelines

(Weeks 3–4 | Lec 6 Hrs / Lab 18 Hrs / Ext 0 Hrs | 24 Total Hrs | 1.0 Credit Hrs)
Students will:

• Automate end-to-end ML workflows
• Build training, validation, and deployment pipelines
• Handle data drift and schema evolution
• Manage experiments systematically
  Prerequisite: MLOps 101 – ML Engineering Foundations
  Tools: Kubeflow Pipelines, MLflow, Metaflow