Artificial Intelligence for Young People

Preparatory Trainings and European Mobility for Artificial Intelligence Applications in Türkiye

Artificial intelligence It will change the way the economy works and the way people work.

Erasmus+ 205 Project, under the coordination of Mamak District Directorate of National Education, Middle East Technical University (Turkey), Fikir Mühendislik A.Ş. (Turkiye), ARDA Beratung & Bildung GmbH (Germany) and Aldous Information Services BV (Netherlands).

The AI ​​program for youth will equip young people and future leaders with the necessary skills during the 4th industrial revolution. Young people will create solutions to the problems of the century, including social problems, using AI technologies.

The project aims to meet AI learning and application needs. In order to achieve these goals, the following abilities were provided to the participants:

  • Analytical Thinking
  • Basic Mathematics Knowledge
  • To decide
  • Establishing Cause-Effect Relationship
  • Big Data
  • Data collecting
  • Programming
  • Algorithm Editing
  • Machine Learning
  • Deep Learning
  • Using Python and Its Modules
  • Linear Algebra Knowledge
  • Statistical Information
  • Probability Fundamentals
  • Ability to Model

It is supported by the European Commission within the scope of the Erasmus+ Programme. However, the European Commission and the Turkish National Agency cannot be held responsible for the opinions contained herein.

Our Public Service Announcement

Artificial Intelligence Portal

The purpose of the AI ​​Portal Study is to include the topics explained and the codes created in the Python, ML and DL trainings given to our students. You can access and try the codes on this portal, and download and archive them to use in your projects later.

Colab | Jupyter Notebook Workspaces

We used Google Colab platform in our work. If you want, you can also use your codes on the Jupyter Notebook original site.

Notebooks and Lecture Notes

he studies contain the codes of the trainings offered. You will find the codes working. These are given both as text and code in Jupyter Notebooks. You can change and use these codes as you wish. You must have a google account to use these Notebooks. First, log in with your email address with a extension and make sure you have Google Drive. Then simply click on the links to the courses in the education section. Lecture Notes are provided in both Jupyter Notebook and pdf formats.

User-Friendly Platforms

In order for you to follow the training more easily, click on the link at the top right of the page.     and     ou can switch to the most suitable platform by clicking on the icons


Gökhan BENLİ (Ph.D.)

Dr. Lecturer - METU Department of Mathematics

He gave Introduction to Statistics and Probability Trainings.


He taught Introduction to Programming with Python, Advanced Python, Machine Learning, and Deep Learning courses.

Songül MERDAN (Ph.D.)

Prof. Dr. - METU Department of Mathematics

Project Coordinator

She taught Linear Algebra I and Linear Algebra II.