Amazon SageMaker Pipelines now provides a drag-and-drop UI to easily create ML workflows

The article announces the general availability of a drag-and-drop user interface (UI) for Amazon SageMaker Pipelines, allowing data scientists and ML engineers to create end-to-end AI/ML workflows without writing code.

Specifically, the article covers:

• The new drag-and-drop UI allows users to easily create ML workflows by connecting various steps like Notebook Jobs, LLM fine-tuning jobs, and inference endpoints.
• Users can monitor and debug all ML jobs orchestrated via the workflows within the same UI.
• The UI enables rapid iteration on ML workflows and executing them at scale in production.
• The drag-and-drop UI for Amazon SageMaker Pipelines is available in all regions where Amazon SageMaker is available, except China Regions and GovCloud (US) Regions.