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