ISTQB CT-AI Practice Labs
Interactive hands-on labs for the Certified Tester AI Testing certification
4 modules covering key syllabus topics with practical exercises
Traditional vs AI Testing
Understand the fundamental differences between testing traditional software and AI systems through interactive scenarios and quizzes.
Data Quality Testing Lab
Inspect a real-world loan approval dataset and identify data quality issues that could compromise ML model training.
Bias Detection Lab
Test an AI loan approval model for hidden biases using paired testing, statistical analysis, and formal bias reporting.
AI Chatbot Testing
Interact with a flawed AI chatbot to discover bugs including hallucinations, prompt injection vulnerabilities, and harmful content.
ISTQB CT-AI Syllabus Coverage
| Syllabus Chapter | Covered By |
|---|---|
| Ch 1: Introduction to AI | |
| Ch 2: Quality Characteristics | |
| Ch 3: Machine Learning Overview | |
| Ch 4: ML Data | |
| Ch 5: Performance Metrics | |
| Ch 7: Testing AI Systems | |
| Ch 8: Testing Quality Characteristics | |
| Ch 9: Methods & Techniques |
Why This Platform?
Hands-On Practice
Learn by doing with interactive labs, not just reading theory. Every module includes practical exercises.
Exam Aligned
Content mapped directly to the ISTQB CT-AI syllabus chapters so you study what matters.
Track Progress
Get immediate feedback with scoring, hints, and detailed explanations for every exercise.