AI in Practice: Applying AI

This course is not about difficult algorithms and complex programming; it is a course for anyone interested in learning how to integrate AI into their own organization. AI innovative solutions, such as the use of machine learning, deep learning, computational argumentation, diagnostic image analysis, reinforcement learning, natural language processing, robotics and data analytics, can help organizations solve specific problems, drive efficiency and improve performance and decision-making. After having learned what AI can do for your organization, this second part of our two-course program ‘AI in Practice’, will guide you in the practical aspects of applying AI in your own organization. You will examine typical applications of AI in use already and learn from their experience. These include challenges of implementation, lifecycle aspects, as well as the maintenance and management of AI applications. To understand how current Artificial Intelligence applications can be successfully integrated in organizations, we look at different examples. For instance, how ING uses reinforcement learning for personalized dialog management with its customers or how Radboud UMC uses diagnostic image analysis to discover early stages of infectious diseases. The course presents a variety of case studies from actual situations in public organizations and private enterprises in the healthcare, financial, retail and telecommunications sectors. These include Radboud UMC, the Municipality of Amsterdam, ING, Ahold Delhaize and KPN. ‘AI in Practice – Applying AI’ gives you the ammunition to understand the practical aspects required for the implementation of a variety of AI applications in your organization. This course has been developed by Delft University of Technology and the Innovation Center for Artificial Intelligence Academy (ICAI). ICAI is a national initiative involving industry, universities and government in the area of AI research and applications.