Lilly Tech Systems
API Testing for AI Services
Test ML prediction APIs with request validation, load testing, error handling, contract testing, and quality monitoring for AI services.
Course Lessons
Work through these lessons sequentially or jump to the topic most relevant to you.
1. AI API Testing Fundamentals
Fundamentals of testing AI APIs
2. Request Response Validation
Validating API inputs and outputs
3. Testing Prediction Endpoints
Testing model serving endpoints
4. Load Testing AI APIs
Load testing prediction APIs
5. Error Handling and Edge Cases
Testing error scenarios
6. API Contract Testing
Contract testing for ML APIs
7. Monitoring API Quality
Monitoring API quality metrics
What You'll Learn
By the end of this course, you will be able to:
Core Concepts
Understand the fundamental principles and techniques of api testing for ai services 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.