Kirit Thadaka, ML Solution Architect, demonstrates how Amazon SageMaker Pipelines will help automate ML workflows at scale. In this demo, he shows how you can leverage Pipelines to orchestrate ML tasks within and outside of SageMaker for an end-to-end workflow. For the code for this demo, visit the Github: bit.ly/3H3rfTu Subscribe: More AWS videos bit.ly/2O3zS75 More AWS events videos bit.ly/316g9t4 ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster. #AWS #AmazonWebServices #CloudComputing #AmazonSageMaker