Table of Contents Pytest Tutorial: MLOps Testing, Fixtures, and Locust Load Testing Introduction to MLOps Testing: Building Reliable ML Systems with Pytest Why Testing Is Non-Negotiable in MLOps What You Will Learn: Pytest, Fixtures, and Load Testing for MLOps From FastAPI to Testing: Extending Your MLOps Pipeline with Validation Test-Driven MLOps: Applying Software Testing Best Practices to ML Pipelines What to Test in MLOps Pipelines: Models, APIs, and Configurations Unit vs Integration vs Performance Testing The Software Testing Pyramid for MLOps: Unit, Integration, and Load Testing Project Structure and Test Layout Test Directory Structure for MLOps: unit, integration, and performance Understanding Pytest Fixtures: Using conftest.py for Reusable Test Setup Where to Place Tests in MLOps Projects: Unit vs Integration vs Performance Unit Testing in MLOps with Pytest The Code Under Test: Inference Service and Dummy Model services/inference_service.py models/dummy_model.py Writing Pytest Unit Tests for MLOps:…