As AI applications are built at record speed, many teams are accumulating significant "technical debt," leading to brittle, unpredictable, and expensive systems. "Refactor and Test LLM Microservices" is an intermediate course designed for software developers and ML engineers who want to build production-grade AI applications that last. This course moves beyond notebooks and scripts to instill the software engineering discipline required for robust microservices. You will master Test-Driven Development (TDD), learning to write failing unit tests before implementing new API endpoints to ensure correctness from the start. You will also learn to act on code-review feedback by systematically refactoring complex code, breaking down monolithic functions into clean, readable, and maintainable modules. Through hands-on labs in a VS Code environment, you will refactor a legacy service and build a new, fully tested API endpoint, ensuring your work is not just functional, but also scalable and reliable.
What you'll learn
understand technical debt in AI applications
apply Test-Driven Development principles
refactor legacy code into manageable modules
build and test a new API endpoint
Course objectives
equip developers with skills to create scalable AI microservices
instill best practices for software engineering in AI projects