The AI engineering program at International Balkan University provides students with the expertise to transform large datasets into actionable insights. The curriculum emphasizes how complex inputs like vision, language, and extensive databases can inform decisions and enhance human capabilities. It includes courses in computer science, mathematics, statistics, computational modeling, machine learning, and symbolic computation. Committed to AI for social good, the program also covers ethics and social responsibility, with opportunities for independent study projects in areas such as healthcare, transportation, and education. Benefits - Assess AI's implications and applications in your field, and build a compelling business case for its use. - Critically examine the social implications and ethics of AI. - Gain a conceptual grasp of machine learning algorithms, deep learning, and neural networks. - Benefit from International Balkan University's unique AI research ecosystem. - Receive insights from leading industry experts and faculty. AI's Transformative Impact AI is indispensable in today's world, transforming industries and society with its ability to process vast amounts of data and identify patterns at unprecedented speeds. As highlighted by International Balkan University’s AI program, this technology is crucial for tackling complex global challenges. From advancing critical solutions to optimizing processes, AI is driving innovation and enhancing lives in numerous ways. Businesses need to embrace AI, as its evolution promises a bright future for AI and machine learning engineers. While today’s AI, or weak AI, performs minimal tasks, future advancements are expected to bring about strong AI with human-like capabilities, leading to a higher job outlook in the field. What skills should an AI engineer have? ● Programming skills ● Neural networks ● Data Science ● Statistics and probability ● Data Engineering ● Exploratory data analysis Graduates of the Artificial Intelligence Engineering Program are expected to acquire the following skills upon graduation: ● Distill real-world challenges into artificial intelligence problems, involving symbolic and numeric model representation, reasoning, and decision-making. ● Design, analyze, and implement cutting-edge AI and machine learning techniques for handling real-world data, including vision, language, perception, and uncertainty. ● Master fundamental concepts in data structures, programming, computing systems, and algorithm design, focusing on performance and correctness across various metrics. ● Develop a strong grasp of discrete mathematics, logic, theorem proving, probability, statistics, and optimization. ● Work effectively both individually and in teams. ● Recognize the social impact of AI and understand the ethical, privacy, moral, and legal implications of AI technologies. Graduates will possess a solid foundation in computer science and advanced expertise in machine learning and automated reasoning, preparing them to build the AI of tomorrow.