Automate Amazon SageMaker Pipelines DAG creation

This article describes a framework for automating the creation of Amazon SageMaker Pipelines directed acyclic graph (DAG) based on configuration files. The key points are:

Specifically, the article covers:

• An overview of the solution, its benefits, and architecture
• Repository structure and components of the framework
• Prerequisites and steps to deploy the solution
• Configuration file structure for the framework and individual models
• Examples of single-model (LightGBM, LLM fine-tuning) and multi-model training DAGs
• Clean-up steps to remove resources created by the solution