Build Testable Python Packages for AI

This course helps learners transform scattered AI preprocessing code into clean, reusable, and testable Python utilities that meet modern MLOps expectations. Across two focused lessons, learners explore advanced programming constructs—such as generators, decorators, and structured logging—that make ML workflows modular and maintainable. They then apply software-engineering principles to design standards-compliant Python packages that integrate smoothly into real AI pipelines. Through videos, readings, hands-on exercises, and a guided Coursera Lab, learners practice refactoring preprocessing st…