Building Advanced AI Systems 7.5 credits

Effective utilization of ready-to-use and state-of-the-art AI components is crucial to fully realize the potential of AI. The ability to find, evaluate and adapt available AI components suitable for solving complex tasks require knowledge and skills in both software engineering and AI/Machine Learning (ML). In this course, students will develop AI systems for real-life problems, utilizing and combining available AI components as is relevant for the chosen tasks. The course includes the following elements: - overview of state-of-the-art and ready-to-use AI components, - design principles for AI components, - combining pre-trained models, APIs, and open-source tools into larger systems, - understanding and addressing issues like bias, fairness, transparency, and accountability in AI systems, - best practices for scaling AI systems and optimizing performance for real-world challenges, - strategies for deploying AI systems in production environments and monitoring their performance and ethical impact.