Announcing API support for creating Amazon SageMaker Notebook jobs

Amazon SageMaker notebook jobs allows data scientists to run their notebooks on demand or on a schedule with a few clicks on Amazon SageMaker Studio, a web-based IDE for machine learning (ML). Today, we’re excited to announce that you can programmatically run notebooks as jobs using APIs provided by SageMaker Pipelines, SageMaker’s ML workflow orchestration service. Furthermore, you can create a multi-step ML workflow with multiple dependent notebooks using these APIs.

Source:: Amazon AWS