COURSE CURRICULUM

The Artificial Intelligence specialization includes subjects that provide students with both theoretical knowledge and practical experience in designing, developing, and applying intelligent technologies. The curriculum begins with the basics of machine learning, where students learn how computer systems analyze data, recognize patterns, and make predictions or decisions without being explicitly programmed for every task. Students also study neural networks, gaining an understanding of how deep learning models are designed and trained to solve complex problems such as image recognition, speech processing, and predictive analytics. Another core area is artificial intelligence algorithms, which introduces students to the methods and techniques used to build intelligent systems capable of reasoning, problem-solving, optimization, automation, and decision-making. The program includes a practical AI project that enables students to apply their programming, data analysis, and machine learning skills to real-world challenges by developing intelligent applications and testing AI models using modern software tools and frameworks. In addition, students examine ethical issues related to artificial intelligence, including fairness, transparency, privacy, accountability, bias, data protection, and the responsible development and deployment of AI technologies. Throughout the specialization, students strengthen their programming, analytical thinking, problem-solving, research, communication, and project management skills while gaining hands-on experience with industry-relevant AI tools and technologies. Graduates have a wide range of career opportunities across industries that increasingly rely on artificial intelligence and data-driven decision-making. They can work in the development of autonomous systems, creating intelligent technologies for robotics, self-driving vehicles, industrial automation, and smart devices. Other career paths include machine learning development, where professionals design predictive models and intelligent software, as well as text and language processing, developing applications such as chatbots, virtual assistants, speech recognition systems, and language translation technologies. Graduates are also well prepared for roles in business intelligence and analytics, where they analyze large datasets, generate business insights, support strategic decision-making, and improve organizational performance through AI-powered solutions. The specialization equips students with the technical knowledge, practical experience, and ethical awareness required to build innovative, reliable, and responsible artificial intelligence systems across a wide range of industries and applications.