AI in Practice: Applying AI

Delft University of Technology via edX

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Overview

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...

Syllabus

The course is built from five main topics on AI in Practice:

Reinforcement Learning for Real life - the AI for FinTech Research (ING and Delft University of Technology) and a Bonus Track of the Self-Learning Forecasting in Retail - the AI for Retail Lab Amsterdam (Ahold Delhaize and University of Amsterdam).
Diagnostic Image Analysis for COVID-19 - the Thira Lab (Thirona and RadboudUMC).
Thematic Track on AI Strategy and Implementation Aspects of AI - a variety of labs (Vrije Universiteit Amsterdam, Dutch National Police, Elsevier and Delft University of Technology).
Agent Architecture of the Intake - the Police AI Lab Utrecht (University Utrecht and the Dutch National Police).
AI for Society - the Civic AI Lab (the Municipality of Amsterdam, University of Amsterdam and Vrije Universiteit Amsterdam).

In each module of this course each topic is explained from the perspective of a selection of guest lecturers from ICAI labs, working in industry or academia.

This course is designed for people who want to apply AI in their own practical situation. This applies to managers who want to know what AI can do for their companies, data analysts and consultants who want to understand how AI can be applied in their business processes, or students who want to understand how the results of AI research can be translated into practical applications.