Amazon SageMaker Pipelines: Deploying End-to-End Machine Learning Pipelines in the Cloud

Cloud computing is one of the fastest growing skills in the Machine Learning world. Among cloud services companies, Amazon stands out for providing one of the most advanced tools for Machine Learning: Amazon SageMaker. Using SageMaker you can, among many other things, build, test and deploy Machine Learning models. Furthermore, you can create End-to-End pipelines in order to integrate your models in a CI/CD environment. In this post we are going to use Amazon SageMaker to create an End-to-End pipeline step by step.