ISTQB · Topic 9 of 17
Testing Generative AI Systems
The biggest chapter, biggest exam weight (~180 min). Non-determinism, exploratory testing, red teaming, output quality, RAG.
6 lessons600 questions
What this topic covers
- 01Introduction to GenAI Testing Challenges360m
- 02Exploratory Testing of GenAI480m
- 03Red Teaming and Adversarial Testing360m
- 04Evaluating GenAI Output Quality480m
- 05Testing RAG-Based Systems480m
- 06Chapter Review and Practice Questions360m
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 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