Writing Production-Grade Dockerfiles for ML

Multi-stage builds, .dockerignore hygiene, layer caching, and dependency pinning , the engineering discipline that separates a "it works" image from one you'd actually ship to production. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 12)