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Applying GitOps Principles in End-to-End MLOps Projects - Interactive Workshop

Offered By: MLOps World: Machine Learning in Production via YouTube

Tags

MLOps Courses Machine Learning Courses DevOps Courses Infrastructure as Code Courses GitOps Courses DVC Courses

Course Description

Overview

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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.

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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