Speakers:
Shelbee Eigenbrode, Principal AI/ML Specialist Solutions Architect
Shelbee Eigenbrode is a Principal AI and Machine Learning Specialist Solutions Architect at Amazon Web Services (AWS). She is currently focusing on combining her DevOps and ML background into the domain of MLOps to help customers 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. Shelbee is a co-creator and instructor of the Practical Data Science specialization on Coursera, a published author, and the Co-Director of Women In Big Data (WiBD), Denver chapter.

Bobby Lindsey, AI/ML Specialist Solutions
Bobby Lindsey is an A.I. / Machine Learning Specialist at AWS. He’s been in technology for over a decade, spanning various technologies and multiple roles. He is currently focused on combining his background in software engineering, DevOps, and machine learning to help customers deliver machine learning workflows at scale. In his spare time, he enjoys reading, hiking, biking, and trail running.

Kirit Thadaka, ML Solutions Architect, Amazon Web Services
Kirit Thadaka is an ML Solutions Architect working in the Amazon SageMaker Service SA team. Prior to joining AWS, Kirit spent time working in early stage AI startups followed by some time in consulting in various roles in AI research, MLOps, and technical leadership.


Abstract:
In this workshop, attendees will get hands on with SageMaker Pipelines to implement ML pipelines that incorporate CI/CD practices.

свернуть