01Module 06: ContainerizationMaster Docker and containers for ML - from Dockerfiles to GPU containers, image optimization, and Docker Compose for reproducible ML development environments.02Docker for MLLearn Docker fundamentals from an ML perspective - why containers matter, how to write effective Dockerfiles, and how to manage ML model files in containers.03Optimizing ML Docker ImagesReduce ML Docker images from 8GB to under 1.5GB using multi-stage builds, slim bases, BuildKit cache mounts, and image scanning.04GPU ContainersBuild and run GPU-enabled containers for ML - covering NVIDIA Container Toolkit, CUDA compatibility, Kubernetes GPU scheduling, and debugging GPU access.05Container Registry and CIManage ML container images in CI/CD pipelines - registry choices, image tagging, multi-architecture builds, Trivy scanning, and environment promotion workflows.06Service Mesh for ML ServingUse Istio service mesh to manage traffic routing across multiple ML model versions - canary deployments, A/B testing, circuit breakers, and telemetry.07Docker Compose for ML DevelopmentBuild a complete local ML development environment with Docker Compose - training, serving, feature store, and monitoring all running with a single command.
