Module 1: Python project structure for AI

Module 1: Python project structure for AI#

AINS6007 — Applied AI Programming with Python

Essential Question#

What makes AI code maintainable beyond a notebook?

Scenario#

an engineering team converting prototype AI code into a maintainable application component

Stakeholders: software engineer, ML engineer, QA lead, product owner, and operations reviewer

Core Moves#

  • Define the decision boundary

  • Compare baseline and alternative

  • Interpret evidence and assumptions

  • Identify failure modes

  • Recommend next action

Lab & Assignment#

Refactor notebook logic into a small package.

Artifact: tested Python AI component with interface contract, CI evidence, and deployment notes focused on python project structure for ai: Refactor notebook logic into a small package.