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GAQM CAIP-001 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Artificial Intelligence Foundations | 20% | - Rule-based expert systems - History and evolution of AI - Knowledge representation and reasoning - Uncertainty management in AI systems - Core AI concepts and definitions |
| Topic 2: Machine Learning Fundamentals | 25% | - Feature engineering and data preprocessing - Model evaluation and validation metrics - Regression, classification, and clustering algorithms - Supervised, unsupervised, and reinforcement learning |
| Topic 3: Deep Learning & Neural Networks | 20% | - Convolutional Neural Networks (CNN) - Artificial Neural Networks (ANN) - Recurrent Neural Networks (RNN) & Transformers - Training, optimization, and regularization |
| Topic 4: AI Specialized Domains | 20% | - Robotics and intelligent agents - Computer Vision and image recognition - AI tools and platforms overview - Natural Language Processing (NLP) |
| Topic 5: AI Ethics, Governance & Applications | 15% | - AI security and deployment considerations - Ethics, bias, fairness, and transparency - Real-world AI use cases across industries - AI governance, compliance, and risk management |
