Lilly Tech Systems
Integration Testing for ML Systems
Test end-to-end ML system integration including data ingestion, feature stores, model serving, databases, and message queues.
Course Lessons
Work through these lessons sequentially or jump to the topic most relevant to you.
1. Integration Testing Concepts
ML integration testing fundamentals
2. Testing Data Ingestion
Testing data ingestion pipelines
3. Feature Store Integration Tests
Testing feature store integration
4. Model Serving Integration
Testing model serving systems
5. Database Integration Testing
Testing database interactions
6. Message Queue Testing
Testing message queue integration
7. Full System Integration Tests
End-to-end system tests
What You'll Learn
By the end of this course, you will be able to:
Core Concepts
Understand the fundamental principles and techniques of integration testing for ml systems for production AI systems.
Practical Skills
Build hands-on skills with real code examples, frameworks, and tools used by industry professionals.
Best Practices
Apply industry best practices and avoid common pitfalls when implementing testing in your ML projects.
Production Ready
Ship reliable, well-tested AI systems with confidence using automated testing pipelines.