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.
Refactor and Test LLM Microservices
Refactor and Test LLM Microservices
This course is part of Microservices Architecture for AI Systems Specialization
Instructor: LearningMate
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Intermediate level
Recommended experience
3 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Apply TDD and systematic refactoring to build and maintain robust, production-quality LLM-powered microservices.
Skills you'll gain
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Taught in English
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January 2026
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This course is part of the Microservices Architecture for AI Systems Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 2 modules in this course
This module introduces the discipline of Test-Driven Development (TDD) as a crucial practice for building reliable software. You will explore how a test-first approach prevents costly production failures, what the TDD cycle entails, and how to apply it to add a new, fully tested endpoint to an LLM-powered microservice.
What's included
2 videos1 reading1 assignment1 ungraded lab
This module focuses on improving the long-term health of a codebase. You will explore why refactoring is essential for managing technical debt and how to methodically improve code by acting on realistic, expert-level feedback. You will also gain hands-on experience in breaking down complex functions to improve readability and maintainability, ultimately transforming professional critique into higher-quality code.
What's included
2 videos1 reading1 assignment1 ungraded lab
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