Start by recognizing AI’s multiple benefits and implications and end by making a plan for its application.
Artificial Intelligence (AI) is like electricity must have been 140 years ago. We may not yet be able to properly imagine how it will affect our lives, but organizations need to start thinking about how AI can be applied to and improve everyday practice.
We can’t just leave this to the coding elite either. This program is therefore not about difficult algorithms and complex programming. Rather, it is for anyone, regardless of their professional background or job role, who is interested in learning how to prepare for and apply AI in their own situation, for instance:
Experienced managers who want to know what AI can do for their own organization.
Data analysts or business consultants who want to understand how AI can be applied in the business processes of the company for which they work.
Students who want to understand how the results of AI research can be translated into practical applications.
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 you and your company solve specific problems, drive efficiency and improve performance and decision-making.
This two-course program provides a wide range of cases and examples of current AI applications in various organizations. It presents ideas and case studies for actual situations based on state-of-the-art AI research, and provides practical tools for integrating AI into your own organization.
This program has been developed by Delft University of Technology and the Innovation Center for Artificial Intelligence Academy (ICAI) in the Netherlands. ICAI is a national initiative involving industry, universities and government in the area of AI research and applications. Case studies presented include contributions from top Dutch universities, public institutions and AI experts from companies such as ING, Ahold Delhaize, Elsevier, KPN and Thirona.
Courses under this program: Course 1: AI in Practice: Preparing for AI
Learn to recognize and understand the implications of Artificial Intelligence for organizations, and the importance of compliance and ethics when AI is applied in practice.
Course 2: AI in Practice: Applying AI
Learn about the implementation and practical aspects of Artificial Intelligence and how to write a plan for applying AI in your own organization in a step-by-step manner.
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.
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.
As part of our two-course program ‘AI in Practice’, this course 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.
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.
Bram van Ginneken, Marcel Worring, Frank van Harmelen, Maarten de Rijke, Floris Bex, Arie van Deursen, Marleen Huysman and Sennay Ghebreab