Explore GitOps principles applied to MLOps in this interactive workshop presented by Tibor Mach, Machine Learning Solutions Engineer at DVC. Learn how to create an end-to-end MLOps pipeline centered around a git repository as the single source of truth. Discover strategies for overcoming challenges specific to machine learning, such as handling large datasets and managing the experimental nature of ML development. Gain hands-on experience with tools like DVC to bridge the gap between traditional GitOps practices and the unique requirements of MLOps. Step through the process of building a comprehensive MLOps workflow that leverages automation, reproducibility, and security principles from the DevOps world.
Applying GitOps Principles in End-to-End MLOps Projects - Interactive Workshop
MLOps World: Machine Learning in Production via YouTube
Overview
Syllabus
Applying GitOps Principles At Every Step Of An E2E MLOps Project - An Interactive Workshop
Taught by
MLOps World: Machine Learning in Production
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