Building Machine Learning Pipelines With Amazon Sagemaker

In this session, we’ll cover the key technology agnostic considerations when building out automated machine learning pipelines as well as incorporating CI/CD practices into your machine learning pipelines. To showcase a specific implementation, we’ll dive deeper into Amazon SageMaker Pipelines & Projects.
Shelbee Eigenbrode (AWS)

Principal AI and Machine Learning Specialist Solutions Architect at Amazon Web Services (AWS). She holds 6 AWS certifications and has been in technology for 23 years spanning multiple industries, technologies, and roles. She is currently focusing on combining her DevOps and ML background to deliver and manage ML workloads at scale. With over 35 patents granted across various technology domains, she has a passion for continuous innovation and using data to drive business outcomes..
  • Date: Oct 13, 10:00 (US Pacific Time)
  • Fee: Free
  • Available Seats: 266 (max 500)
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