AI in Practice

This course is a part of AI in Practice, a 2-course Professional Certificate series from edX.

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.

What you'll learn

• After taking this course you will be able to:
• Describe the benefits and challenges of implementing AI in organizations, in terms of context, organizational background, problems, research approach and results.
• Identify the conditions and requirements for the implementation of AI in terms of improvement strategies for organizations in industry, academia and education.
• Understand the implementation aspects of AI and their significance for your own organization.
• Write a plan for the application of AI in your own organization