AzureML Project Scaffolding

A battle-tested structure for AI projects that require reproducible experimentation, leveraging AzureML for cloud execution. It ensures reproducibility from day one without sacrificing the path to production — and without breaking the ability to keep experimenting once you're there. Code, environments, specs, and dependencies are wired so that what runs locally runs on [AzureML][aml], with no surprises.

Principles

These principles are foundational. Every decision about project structure, tooling, or workflow must be evaluated against them.

• Three layers — Each layer depends only on inner layers: