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