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