Day 30: Versioning Strategies — Incremental vs Semantic Versioning for Models

This lesson explains how ML model versioning really works in production. You’ll compare incremental vs semantic versioning, learn when to bump major, minor, or patch versions, and understand how proper versioning enables safe rollbacks, audits, and large-scale deployments.

What This Lesson Covers
Why model versioning is harder than code versioning
Incremental vs Semantic Versioning (MAJOR / MINOR / PATCH)
How versioning fits into the Model Registry
Rollback, reproducibility, and compliance at scale
Versioning strategies used in real production MLOps systems
#MLOps
#ModelVersioning
#SemanticVersioning
#MLflow
#ProductionML
#AIEngineering
#MachineLearning
#ScalableSystems

Видео Day 30: Versioning Strategies — Incremental vs Semantic Versioning for Models канала Hands On Course Demo