To monitor the progress and performance of your Airflow ML Pipeline, you can use Airflow's built-in web user interface. It offers real-time visibility into task execution, durations of task instances, and historical run logs. Additionally, Airflow offers various logging and monitoring tools integration (e.g., ELK stack, Prometheus) for in-depth performance analysis. You can set up alerts and notifications to be informed of any pipeline issues, ensuring smooth and efficient execution of your ML workflows.