| 1 | Foundations of Artificial Intelligence: To ensure students understand AI concepts and basic principles. |
| 2 | Learning Fundamental Algorithms: To help students understand basic machine learning algorithms such as supervised and unsupervised learning. |
| 3 | Image and Language Processing: To introduce students to basic image and natural language processing techniques and enable them to carry out practical applications. |
| 4 | Deep Learning and Neural Networks: To help students comprehend artificial neural network architectures and deep learning methods, allowing them to explore popular deep learning techniques. |
| 5 | AI Ethics and Reliability: To emphasize ethical issues in AI and foster sensitivity to the social and ethical dimensions of technology. |
| 6 | Looking to the Future: To help students gain awareness of AI’s future potential and its possible impacts. |