ISTQB® Certified Tester - AI Testing (CT-AI)
Issued by
Brightest
Earners of the ISTQB® CT-AI are able to understand the current state and expected trends of AI Experience the implementation and testing of a ML model and recognize where testers can best influence its quality. They can also understand the challenges associated with testing AI-Based systems, such as their self-learning capabilities, bias, ethics, complexity, non-determinism, transparency and explainability Contribute to the test strategy for an AI-Based system.
- Type Certification
- Level Intermediate
Skills
- A/B Testing
- AI And The AI Effect
- AI-Based Systems
- AI Development Frameworks
- AI Technologies
- AI Technologies For Testing
- Back-to-Back Testing
- Bias And Ethics
- Confusion Matrix
- Data Labelling
- Data Preparation
- Documenting An AI Component
- Experience-based Testing Of AI-based Systems
- Forms Of ML
- Gerneral AI
- Metamorphic Testing (MT)
- ML Algoreithm Selection
- Narrow AI
- Pairwise Testing
- Pre-Trained Models
- Safety And AI
- Specifications Of AP-Based Systems
- SuperSI
- Supervised Learning
- Testing For Concept Drift
- Using AI For Defect Prediction
- Using AI For Testing User Interfaces
- Using AI To Analyze Defect Reports
Earning Criteria
-
First experience in mobile application testing
Standards
Brightest's processes are aligned to the global standard ISO/IEC 17024: 2012.