Building an ML Platform from Scratch: Live Coding Session, Building an ML Platform from Scratch: Live Coding Session - Part 2

Name: Building%20an%20ML%20Platform%20from%20Scratch:%20Live%20Coding%20Session,%20Building%20an%20ML%20Platform%20from%20Scratch:%20Live%20Coding%20Session%20-%20Part%202
Uploaded: 2021-06-09

Posted Jun 09, 2021 | Views 563

# ML Platforms

# Open-Source

# GitHub

# Aporia

# Aporia.com

speakers

Alon Gubkin

CTO and Co-Founder @ Aporia

Alon is the CTO and Co-Founder at Aporia, the ML Observability Platform. Alon spent the last decade leading multiple software engineering teams, working closely with various organizations on their Data and Machine Learning platforms.

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Demetrios Brinkmann

Chief Happiness Engineer @ MLOps Community

At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps.community meetups. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from his mistakes. He tries to bring creativity into every aspect of his life, whether that be analyzing the best paths forward, overcoming obstacles, or building lego houses with his daughter.

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SUMMARY

This workshop will teach you how to set up an ML platform based on open-source tools like Cookiecutter, DVC, MLFlow, FastAPI, Pulumi, GitHub Actions, and more. Alon explains each tool in an intuitive way and the problem it solves and then builds a useful platform that combines all of them. All codes are available on GitHub so you'll be able to integrate them into your existing work easily. In this live coding session, Alon demonstrates how you can easily build your own custom ML Platform using open source tools such as Pulumi, MLFlow, KFServing, and more. All codes are available here: https://github.com/aporia-ai/mlplatform-workshop, In our previous live coding session, we built an ML platform using MLFlow, DVC, Pulumi, and other tools. As requested by the community, during the second session we'll focus on how to add solutions for Model Monitoring and Training Orchestration. All codes are available here: https://github.com/aporia-ai/mlplatform-workshop

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