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ISQI AIFL Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Fundamentals of Software Testing | 15% | - Static and dynamic testing - Core testing principles and process - Test levels, types, and techniques |
| AI in Software Testing | 15% | - Defect prediction and risk assessment - Test data generation and analysis - AI-powered test automation |
| AI Technologies Overview | 20% | - Machine learning and deep learning - NLP, computer vision, and generative AI - Neural networks and data lifecycle |
| Introduction to Artificial Intelligence | 15% | - AI vs traditional software systems - History and evolution of AI - Basic AI concepts and terminology |
| Legal, Ethical and Security Aspects | 10% | - Regulations: GDPR, EU AI Act - Security threats in AI systems - Ethics, fairness, and privacy |
| Testing AI-Based Systems | 25% | - Explainability and transparency testing - Challenges of testing AI systems - Model validation and performance metrics - Data quality, bias, and robustness testing |






