Table of Contents

DVC for MLOps: Versioning Your Data and Models the Right Way

DVC for MLOps: Data and Model Versioning Explained

Project Setup

Dataset Versioning with DVC

Model Versioning with DVC

Configuring DVC Remotes

Using DVC Push and Pull to Sync Data and Model Artifacts

Building a Reproducible Machine Learning Pipeline with DVC

Full Real-World Workflow with Lightning, DVC, and GitHub

Summary

In this lesson, you will learn how to use DVC (Data Version Control) to version datasets, track model checkpoints, and create reproducible ML (machine learning) pipelines without bloating your Git repository.…