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ISQI AIFL Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Testing AI-Based Systems | 25% | - Data quality, bias, and robustness testing - Explainability and transparency testing - Challenges of testing AI systems - Model validation and performance metrics |
| Topic 2: AI Technologies Overview | 20% | - Neural networks and data lifecycle - NLP, computer vision, and generative AI - Machine learning and deep learning |
| Topic 3: Fundamentals of Software Testing | 15% | - Core testing principles and process - Test levels, types, and techniques - Static and dynamic testing |
| Topic 4: AI in Software Testing | 15% | - Defect prediction and risk assessment - AI-powered test automation - Test data generation and analysis |
| Topic 5: Legal, Ethical and Security Aspects | 10% | - Ethics, fairness, and privacy - Security threats in AI systems - Regulations: GDPR, EU AI Act |
| Topic 6: Introduction to Artificial Intelligence | 15% | - AI vs traditional software systems - Basic AI concepts and terminology - History and evolution of AI |
