Deploying an End-to-End ML Pipeline with AWS SageMaker - What Amazon Didn't Tell You
Offered By: MLOps World: Machine Learning in Production via YouTube
Course Description
Overview
Embark on a comprehensive workshop that unveils the intricacies of deploying an end-to-end machine learning pipeline using AWS SageMaker. Delve into the challenges and surprises encountered during the implementation process, guided by experienced ML professionals Kollol Das and Fred Caroli from Sensibill. Explore the entire pipeline, from GroundTruth to Training Jobs and Endpoints, while gaining valuable insights into navigating the complex AWS ecosystem. Learn about the hidden pitfalls and unexpected hurdles that await unsuspecting engineers, and acquire practical strategies to overcome them. Benefit from the speakers' extensive experience in natural language processing, few-shot learning, and MLOps as they share their journey and provide actionable advice for successfully deploying ML pipelines on AWS SageMaker.
Syllabus
Workshop Sessions: Deploying an E2E ML Pipeline with AWS SageMaker - What Amazon didn't tell you
Taught by
MLOps World: Machine Learning in Production
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