COURSE CURRICULUM

The program’s full-time progression is designed to build comprehensive expertise in artificial intelligence through a structured sequence of courses over two semesters. In the first semester, students begin by developing a strong foundation in AI algorithms and mathematics, which is essential for understanding and designing intelligent systems. They also explore conversational AI, learning how to create systems capable of natural language processing and human interaction. Machine learning programming and frameworks courses provide practical skills to develop and implement machine learning models. Additionally, students study the issues and challenges in AI to gain awareness of ethical, social, and technical considerations. The semester concludes with a course on AI for business decision-making, helping students apply AI concepts in real-world organizational contexts. Data manipulation techniques are also taught to enable effective handling and analysis of large datasets critical to AI solutions.In the second semester, the focus shifts to more advanced and specialized topics such as AI infrastructure and architecture, which covers the hardware and software foundations needed to support AI applications. Vision systems are introduced to teach students how machines interpret and analyze visual data. Reinforcement learning programming and neural networks deepen students’ understanding of cutting-edge AI learning methods. Emerging AI technologies expose students to the latest developments in the field, while the AI project course offers hands-on experience in designing and implementing an AI solution. Finally, the program covers AI robotics and automation, demonstrating how AI can be integrated with physical systems to perform complex tasks. This carefully sequenced curriculum, totaling 616 hours, equips students with both theoretical knowledge and practical skills to excel in the dynamic AI industry.