Testing and Deployment

Course overview

Testing and deploying AI APIs and apps: unit and contract tests for AI endpoints, mocking providers and replaying conversations, deploying to cloud/serverless/container targets, and handling environment variables, secrets and release checklist.

Outlines best practices for writing unit and API contract tests for endpoints tied to AI models.

Explains mocking providers and replaying conversations to enable reproducible tests and debugging without live external APIs.

Describes deployment options (cloud, serverless, containers) and managing environment variables, secrets and a release checklist.