In an era where businesses are driven by data, maintaining a streamlined and efficient machine learning (ML) workflow is paramount. As a Solutions Architect, desinging efficient MLOps solutions for ease of model training, deployments and inference testing is critical. This is where Amazon SageMaker Pipeline comes into play. It serves as a lifesaver, enabling data engineers to automate, manage, and scale ML workflows with ease and efficiency. Let’s deep dive into the multiple benefits that Amazon SageMaker Pipeline brings to the table.