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GAQM CAIP-001 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| AI Ethics, Governance & Applications | 15% | - Real-world AI use cases across industries - AI governance, compliance, and risk management - AI security and deployment considerations - Ethics, bias, fairness, and transparency |
| Artificial Intelligence Foundations | 20% | - Knowledge representation and reasoning - History and evolution of AI - Core AI concepts and definitions - Rule-based expert systems - Uncertainty management in AI systems |
| AI Specialized Domains | 20% | - AI tools and platforms overview - Natural Language Processing (NLP) - Robotics and intelligent agents - Computer Vision and image recognition |
| Machine Learning Fundamentals | 25% | - Regression, classification, and clustering algorithms - Feature engineering and data preprocessing - Supervised, unsupervised, and reinforcement learning - Model evaluation and validation metrics |
| Deep Learning & Neural Networks | 20% | - Training, optimization, and regularization - Recurrent Neural Networks (RNN) & Transformers - Convolutional Neural Networks (CNN) - Artificial Neural Networks (ANN) |
