0.3.2 Course Overview of AI in Practice: Preparing for AI Systems

Course subject(s) Module 0: Getting started: AI in Practice: Preparing for AI

The course AI in Practice – Preparing for AI is the first course of a series of two courses in the online education program AI in Practice. This first course is composed of five modules. Each unit consists of a learning sequence provided by lecturers from so-called ICAI labs (Innovation Centers for Artificial Intelligence in The Netherlands), working in industry or academia. A learning sequence is built from a series of videos.


Goal of the course

The goal of this course is to 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. In this course we use concrete examples to illustrate how AI can be of value in both private as well as public organizations – no matter how large or small, simple or complex they may be. As one example we look at the Dutch National Police where the use of AI systems and techniques has helped remove the burden of routine administrative and operational tasks. AI helps in handling and processing large amounts of data, improves intake processes and investigation workflows and eases communication within the police and also deals with wider potential transparency and privacy issues.

As the first part of our two-course program AI in Practice, this course will prepare learners for the integration of AI in your organization by understanding what it can achieve and recognizing the potential implications, including compliance and ethical considerations. In the course we present a variety of case studies from public organizations, top Dutch universities and private enterprises in the financial, retail and publishing sectors such as the National Police, ING, Ahold Delhaize and Elsevier.

AI in Practice – Preparing for AI gives learners the ammunition to prepare for the many manifestations of artificial intelligence that we will be dealing with in the coming years and to understand the significance of this for the organization in which they work.


Learning Objectives

After taking this course learners will be able to:

  1. Describe the benefits and challenges of performing AI research in organizations, in terms of context, organizational background and problems, research approaches and results.
  2. Identify the implications of implementing AI in terms of improvement strategies for organizations in industry, academia and education.
  3. Understand the aspects of AI compliance and ethics and their significance for a learners own organization.


Course Overview

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

  1. Multimodal Machine Learning and Image Analysis – the National Police Lab AI (National Police & University of Amsterdam) and AI for Scientific Discovery in Publishing – the Discovery Lab (Elsevier & Vrije Universiteit).
  2. Exploiting structure in deep learning (Delta Lab) and a Bonus Track (the AI for FinTech Research).
  3. Thematic Track on Compliance & Ethics of AI – a variety of labs (University of Twente, Vrije Universiteit, ING, Dutch National Police).
  4. AI applications in FinTech – the AI for FinTech Research (ING & Delft University of Technology).
  5. Robotics – the AIRLab Delft (Ahold Delhaize & Delft University of Technology).

In each module of this course one or more topics are explained from the perspective of a selection of guest lecturers from ICAI labs, working in industry or academia.

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AI in Practice: Preparing for AI by TU Delft OpenCourseWare is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on a work at https://online-learning.tudelft.nl/courses/ai-in-practice-preparing-for-ai/ /
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