Web: https://towardsdatascience.com/5-simple-steps-to-mlops-with-github-actions-mlflow-and-sagemaker-pipelines-19abf951a70?source=rss----7f60cf5620c9---4

Sept. 23, 2022, 6:04 a.m. | Sofian Hamiti

Towards Data Science - Medium towardsdatascience.com

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.

Photo by NASA on Unsplash

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

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