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