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CT-AI — AI Testing

ISTQB · Topic 17 of 17

Methods and Techniques for Testing AI

Adversarial testing, metamorphic testing, A/B testing, back-to-back testing, pairwise on hyper-parameters.

6 lessons240 questions
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What this topic covers

  1. 01AI-Specific Quality Characteristics and Testing Techniques480m
  2. 02Follow-up test cases and invariance under data augmentation300m
  3. 03Macro-averaging, Micro-averaging, and Regression Metrics480m
  4. 04Oracle Problem, Metamorphic Testing, and RAG Testing for AI480m
  5. 05Source Test Cases, Specificity, and ISO/IEC 25059 in AI Testing480m
  6. 06RMSE, Adjusted R-squared, and Metamorphic Testing for AI480m

Other topics in CT-AI — AI Testing

Introduction to Artificial Intelligence7 lessonsIntroduction to AI6 lessonsMachine Learning Overview6 lessonsInput Data Testing6 lessonsML Data6 lessonsMachine Learning Model Testing7 lessonsML Functional Performance Metrics6 lessonsMachine Learning Functional Performance Metrics6 lessonsTesting Generative AI Systems6 lessonsQuality Characteristics for AI-Based Systems4 lessonsTesting AI-Specific Quality Characteristics6 lessonsML Neural Networks and Testing6 lessonsTesting AI-Based Systems Overview6 lessonsTest Environments for AI-Based Systems6 lessonsMachine Learning Development Testing3 lessonsUsing AI for Testing6 lessons