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(Age 16+) Students enrolled in this module are introduced to basic Artificial Intelligence concepts, terminologies, and applications.
Theory: (Students learn fundamental AI concepts and practices)
Practical: (Students implement basic AI models or algorithms)
Discussion and Q&A: (Students participate in discussions and Q&A sessions to clarify their understanding of AI).
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(Age 16+) Students enrolled in this module explore intermediate AI topics and learn major Machine Learning algorithms.
Understanding ML Algorithms (Students learn about various Machine Learning algorithms and their applications)
Hands-on Machine Learning (Students implement ML algorithms on real datasets and interpret the results)
Discussion and Q&A ( Students participate in discussions and Q&A sessions to clarify their ML understanding.)
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(Age 16+) Students enrolled in this module delve into advanced AI topics, focusing on Neural Networks, Deep Learning, and their applications.
Understanding Deep Learning(Students learn about Neural Networks and Deep Learning infrastructure, frameworks, and their applications)
Hands-on Deep Learning( Students implement Neural Networks and Deep Learning models on real datasets and interpret the results.)
Discussion and Q&A(Students participate in discussions and Q&A sessions to clarify their Deep Learning understanding)
