ISTQB · Topic 4 of 17
Input Data Testing
K3 dataset constraint testing objective (~150 min). Data quality, dataset constraints, bias + fairness, augmentation + synthetic data.
6 lessons600 questions
What this topic covers
- 01Data Quality for AI Systems300m
- 02Dataset Constraint Testing300m
- 03Data Bias and Fairness Testing360m
- 04Data Augmentation, Privacy, and Synthetic Data360m
- 05Chapter Review and Practice Questions480m
- 06Data Consistency in AI Input Testing300m
Other topics in CT-AI — AI Testing
Introduction to Artificial Intelligence7 lessonsIntroduction to AI6 lessonsMachine Learning Overview6 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 lessonsMethods and Techniques for Testing AI6 lessons