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ISQI AIFL Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Technologies Overview | 20% | - Neural networks and data lifecycle - Machine learning and deep learning - NLP, computer vision, and generative AI |
| Topic 2: Fundamentals of Software Testing | 15% | - Static and dynamic testing - Test levels, types, and techniques - Core testing principles and process |
| Topic 3: Introduction to Artificial Intelligence | 15% | - History and evolution of AI - AI vs traditional software systems - Basic AI concepts and terminology |
| Topic 4: 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 |
| Topic 5: AI in Software Testing | 15% | - Test data generation and analysis - Defect prediction and risk assessment - AI-powered test automation |
| Topic 6: Legal, Ethical and Security Aspects | 10% | - Regulations: GDPR, EU AI Act - Security threats in AI systems - Ethics, fairness, and privacy |
