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Simplify ML Pipeline Automation and Tracking Using Kubeflow and Serverless Functions

Offered By: Toronto Machine Learning Series (TMLS) via YouTube

Tags

Kubeflow Courses Artificial Intelligence Courses Data Science Courses Machine Learning Courses Cloud Computing Courses Kubernetes Courses MLOps Courses Serverless Functions Courses

Course Description

Overview

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Discover how to streamline machine learning pipeline automation and tracking in this insightful conference talk from the Toronto Machine Learning Series. Learn from Yaron Haviv, a serial entrepreneur and CTO of Iguazio, as he explores the powerful combination of Kubeflow and serverless functions. Gain valuable insights into simplifying complex ML workflows, enhancing pipeline efficiency, and improving tracking capabilities. Delve into practical strategies for leveraging Kubeflow's robust ecosystem alongside the flexibility of serverless architectures to optimize your machine learning projects. Whether you're a data scientist, ML engineer, or AI enthusiast, this talk offers essential knowledge for advancing your skills in ML pipeline management and automation.

Syllabus

Yaron Haviv - Simplify ML Pipeline Automation and Tracking using Kubeflow and Serverless Functions


Taught by

Toronto Machine Learning Series (TMLS)

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