To teach the students techniques based on Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) with practical applications; ; to demonstrate their importance in the EEE with preparing projects.to be able to do AI and DL applications; to be able to present work ; to gain the ability to understand articles and follow recent development in the field.

Fundamental concepts (AI, DL, ML, etc.); Linear regression; Artificial Neural Network (ANN); AI; ML; Single and Multilayer Perceptron; Feed-forward; Convolutional, and Recurrent neural networks (FFNNs, CNNs, and RNNs); Python applications.