Exam Domains
1 Introduction to Artificial Intelligence (History, Ethics, Tools & Frameworks)
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2 Machine Learning Fundamentals (Supervised, Unsupervised, Evaluation)
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3 Deep Learning and Neural Networks (CNNs, RNNs, Backpropagation)
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4 Natural Language Processing (Preprocessing, NER, Sentiment, Generation, Translation)
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5 Computer Vision (Preprocessing, Detection, Segmentation)
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6 Reinforcement Learning (MDP, Q-Learning, DQN)
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7 AI Ethics, Responsible AI, Bias & Fairness, Privacy/Security
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8 AI Frameworks & Tools (TensorFlow/Keras, Scikit-learn, OpenCV, NLTK/spaCy)
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9 AI in Business and Industry Applications
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