Module 4: Testing and continuous integration

Module 4: Testing and continuous integration#

AINS6007 — Applied AI Programming with Python

Essential Question#

How do we catch AI application failures early?

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#

Add unit and integration tests for a model pipeline.

Artifact: tested Python AI component with interface contract, CI evidence, and deployment notes focused on testing and continuous integration: Add unit and integration tests for a model pipeline.