Building an ML Platform from Scratch
Offered By: MLOps World: Machine Learning in Production via YouTube
Course Description
Overview
Discover how to construct a customized ML platform using open-source tools in this comprehensive workshop. Learn to integrate Cookiecutter, DVC, MLFlow, KFServing, Pulumi, and GitHub Actions to create a flexible solution tailored to your organization's needs. Explore each tool's functionality and problem-solving capabilities as you build a practical platform combining these technologies. Gain insights from Alon Gubkin, VP of R&D at Aporia, as he guides you through the process of developing an ML platform suitable for data scientists and ML engineers across various industries and organization sizes. Access the workshop code on GitHub to easily incorporate these learnings into your existing work environment.
Syllabus
Building an ML Platform from Scratch
Taught by
MLOps World: Machine Learning in Production
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