How phoptorn/dpu-docker-basic works
This repository is a beginner Docker course for AI/ML engineers, not a Docker runtime or application. Its principal learner journey moves from VM and container concepts through Docker images, commands, and Dockerfiles to persistent storage, networking, Compose, and AI workloads, culminating in a mini ML service challenge. The README documents these topics and their order; no source excerpts are available, and the tree alone does not establish how the PDF relates to the README.
Main entry points: README.md Virtual machines
Components 12
Core concepts
- Virtual machines
README.md - Containers
README.md
Docker basics
- Images and registries
README.md - Docker commands
README.md - Dockerfiles
README.md
Container operations
- Volumes
README.md - Networking
README.md - Docker Compose
README.md
AI engineering
- AI workloads
README.md - Mini ML service
README.md
Other components
- AI/ML learner
- Docker assignment
Assignment 03_ Docker Basic.pdf
Connections 10
- AI/ML learner → Virtual machines: studies first
- Virtual machines → Containers: compares with
- Containers → Images and registries: learns images
- Images and registries → Docker commands: continues to
- Docker commands → Dockerfiles: continues to
- Dockerfiles → Volumes: continues to
- Volumes → Networking: continues to
- Networking → Docker Compose: continues to
- Docker Compose → AI workloads: applies to
- AI workloads → Mini ML service: culminates in