AI in Practice: Applying AI

Overview

Discover how to harness the power of Artificial Intelligence (AI) within your organization without delving into complex algorithms or programming. This accessible course, offered by the Delft University of Technology and available on edX, is part of the 'AI in Practice' series and focuses squarely on applying AI in real-world settings.

Learn through practical examples how leading organizations like ING bank utilize reinforcement learning for enhanced customer interaction, or how Radboud UMC employs diagnostic image analysis for early detection of infectious diseases.

By examining these and other case studies from sectors including healthcare, finance, retail, and telecommunications, students will gain insights into the successful integration of AI technologies.

From implementation challenges and application lifecycle management to ongoing maintenance, this course covers essential aspects of AI application in professional environments. Featured case studies highlight experiences from notable entities such as the Municipality of Amsterdam, Ahold Delhaize, and KPN, providing a well-rounded perspective on the practical application of AI.

Beyond immediate techniques, 'AI in Practice:

Applying AI' offers knowledge necessary to spearhead AI projects within various organizational frameworks.

This course, a collaboration between the Delft University of Technology and the Innovation Center for Artificial Intelligence Academy (ICAI), leverages a national initiative that combines industry, academic, and government efforts in AI research and application.

Suitable for participants from a wide range of backgrounds, this course bridges the gap between theoretical AI and its practical implications, making it an ideal choice for anyone eager to propel their organization forward with AI technology. Enroll to explore how AI can be strategically integrated into your business processes.

Categories:

Artificial Intelligence Courses, Reinforcement Learning Courses

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Taught by

Bram van Ginneken, Marleen Huysman, Floris Bex and Sennay Ghebreab

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Subjects