Module 7: Packaging, environments, and deployment#
AINS6007 — Applied AI Programming with Python
Essential Question#
How do environments stay reproducible across machines?
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#
Package dependencies and run a deployment smoke test.
Artifact: tested Python AI component with interface contract, CI evidence, and deployment notes focused on packaging, environments, and deployment: Package dependencies and run a deployment smoke test.