5 Simple Steps to MLOps with GitHub Actions, MLflow, and SageMaker Pipelines

Kick-start your path to production with a project template

Earlier this year, I published a step-by-step guide to automating an end-to-end ML lifecycle with built-in SageMaker MLOps project templates and MLflow. It brought workflow orchestration, model registry, and CI/CD under one umbrella to reduce the effort of running end-to-end MLOps projects.

In this post, we will go a step further and define an MLOps project template based on GitHub, GitHub Actions, MLflow, and SageMaker Pipelines …

aws github machine learning mlflow mlops open source pipelines sagemaker