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Implementing MLOps Practices on AWS using Amazon SageMaker

Offered By: MLOps World: Machine Learning in Production via YouTube

Tags

Amazon SageMaker Courses Data Science Courses Machine Learning Courses DevOps Courses Cloud Computing Courses Amazon Web Services (AWS) Courses CI/CD Courses MLOps Courses

Course Description

Overview

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Discover how to implement MLOps practices on AWS using Amazon SageMaker in this informative 47-minute conference talk from MLOps World: Machine Learning in Production. Learn from three AWS experts as they guide you through hands-on experience with SageMaker Pipelines to create ML pipelines incorporating CI/CD practices. Gain insights from Shelbee Eigenbrode, a Principal AI/ML Specialist Solutions Architect with over 35 patents, Bobby Lindsey, an AI/ML Specialist combining software engineering and DevOps expertise, and Kirit Thadaka, an ML Solutions Architect specializing in Amazon SageMaker. Explore practical techniques for delivering and managing ML workloads at scale, and understand how to leverage AWS tools to drive business outcomes through data-driven innovation.

Syllabus

Implementing MLOps Practices on AWS using Amazon SageMaker


Taught by

MLOps World: Machine Learning in Production

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