MLOps 109 – Advanced Orchestration

(Weeks 19–21 | Lec 9 Hrs / Lab 27 Hrs / Ext 0 Hrs | 36 Total Hrs | 1.2 Credit Hrs)
Students will:

• Design orchestrated ML workflows across distributed systems
• Optimize DAGs for ML workloads
• Implement advanced scheduling with Airflow, Prefect, and Argo Workflows
• Automate cross-platform AI deployments
  Prerequisite: MLOps 108 – Observability & Compliance
  Tools: Apache Airflow, Prefect, Argo Workflows