Machine Learning (ML) pipelines are versatile tools that allow users to manage and process various types of data efficiently, facilitating the achievement of specific goals through interconnected flows of data sources, operators, and actions. The Pipeline Visual Editor enhances this process by enabling the automation of data flow from input to output swiftly, significantly reducing the time from weeks or months to mere minutes. Similar to a production line, these pipelines consist of sequential steps leading to a final result. The accompanying tutorial provides guidance on structuring a pipeline from start to finish, as well as on editing and executing its components.