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Week - 1
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Definition and history of the concept of artificial intelligence |
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Week - 2
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Basic concepts related to artificial intelligence: intelligence, intelligent behavior, types of artificial intelligence |
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Week - 3
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The importance of artificial intelligence applications in daily life and industry |
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Week - 4
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Machine learning fundamentals, Supervised and unsupervised learning |
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Week - 5
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Machine learning algorithms: decision trees, K-nearest neighbors, support vector machines |
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Week - 6
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Deep learning and artificial neural networks, Convolutional neural networks and fully connected neural networks |
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Week - 7
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Deep learning applications: image classification, natural language processing |
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Week - 8
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Natural language processing and text classification |
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Week - 9
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Image processing and recognition |
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Week - 10
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Artificial intelligence application areas: healthcare, automotive, finance, education |
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Week - 11
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Artificial intelligence ethical principles and concerns, Data-driven decision-making and ethical issues, The social impacts and responsibilities of artificial intelligence technologies |
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Week - 12
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Security threats and vulnerabilities of artificial intelligence systems, Data privacy and security measures related to artificial intelligence, Artificial intelligence security solutions and applications |
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Week - 13
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Students will develop a project using artificial intelligence techniques. |
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Week - 14
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Project presentations and evaluations |