Test and Secure Your AI Code

Learners will demonstrate mastery by completing a Secure AI Testing Toolkit, where they will evaluate a dependency update, run integration tests, and document their findings, while developing a comprehensive testing suite with pytest that achieves at least 88% coverage. As part of this process, learners will evaluate a sample PR upgrading LangChain from version 0.1.5 to 0.1.8. Working in an off-platform Python environment, they will review changelogs for deprecated features, run security scans to identify vulnerabilities, and perform integration tests to validate compatibility. They will submi…