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One Cluster to Rule Them All - ML on the Cloud Using Ray on Kubernetes and AWS

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

Tags

Machine Learning Courses Cloud Computing Courses Amazon Web Services (AWS) Courses Kubernetes Courses MLOps Courses GPU Computing Courses Scalability Courses Distributed Computing Courses

Course Description

Overview

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Explore how to build a scalable distributed compute cluster for machine learning using Ray on Kubernetes and AWS. Learn from Victor Yap, an MLOps Engineer at Rev.com, as he shares insights on creating a versatile cluster capable of handling diverse compute resources for data processing, model training, and serving. Discover techniques to dynamically scale resources, bridge the gap between local and cluster environments, and efficiently manage any compute problem. Gain valuable knowledge on implementing a unified cluster solution that can adapt to various resource types and quantities, enabling seamless machine learning operations in the cloud.

Syllabus

One Cluster to Rule Them All ML on the Cloud Using Ray on Kubernetes and AWS


Taught by

MLOps World: Machine Learning in Production

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