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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

Tags

Deep Learning Courses MLOps Courses Few-shot Learning Courses Model Deployment Courses Model Training Courses Machine Learning Pipelines Courses

Course Description

Overview

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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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