YoVDO

Deploy and Monitor ML Pipelines with Open Source and Free Applications

Offered By: Linux Foundation via YouTube

Tags

Machine Learning Pipelines Courses Docker Courses GitHub Actions Courses Forecasting Courses MLFlow Courses GitHub Pages Courses

Course Description

Overview

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Explore the deployment of machine learning pipelines using open-source applications and free-tier tools in this 45-minute workshop. Learn to automate data refresh processes and generate regular forecasts using GitHub Actions and Docker, demonstrated through the US hourly electricity demand data from the EIA API. Discover how to implement open-source tools like MLflow and YData Profiling for monitoring data health and model performance. Set up a monitoring dashboard using Quarto doc and deploy it on GitHub Pages, gaining practical insights into efficient ML pipeline management and deployment strategies.

Syllabus

Workshop: Deploy and Monitor ML Pipelines with Open Source and Free Applications - Rami Krispin


Taught by

Linux Foundation

Tags

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