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How to Simplify Cloud-Native Model Training and Validation with CodeFlare - A Hands-On Demo

Offered By: Anyscale via YouTube

Tags

Machine Learning Courses Python Courses Cloud Computing Courses Kubernetes Courses PyTorch Courses Model Training Courses

Course Description

Overview

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Explore a hands-on demonstration of the CodeFlare-SDK, an open-source project designed to streamline cloud-native data pre-processing, model training, and validation. Learn how to leverage an intuitive Python interface to Ray, PyTorch/TorchX, and Kubernetes for efficient cloud resource management, job submission, and status monitoring. Follow along as Mustafa Eyceoz and Atin Sood guide you through the CodeFlare-SDK workflow, from resource allocation to ML job submission and monitoring. Discover how to train large-scale models, including foundation models, in the cloud with ease using CodeFlare-SDK. Gain insights into simplifying DevOps and cloud infrastructure complexities, making cloud-native model training more accessible and manageable for developers.

Syllabus

How to simplify execution of cloud-native model training & validation with CodeFlare: A HandsOn Demo


Taught by

Anyscale

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