Python and Machine Learning

This program provides an educational introduction to Machine Learning, starting from the basic prerequisite knowledge.  The main goal of the program is to equip the learner with a solid foundation and a strong toolset for their professional development. The first part of the program includes acquiring basic skills such as computer programming and data preprocessing. The tools used to build these skills is Python and its scientific ecosystem. Additionally, a solid mathematical background is also essential as it forms the basis for all Machine Learning Algorithms. In the second part of the program, the trainees become familiar with two fundamental axes of the field: Supervised Learning and Unsupervised Learning. The course contains heavily interactive online lab sessions, as well as regular programming assignments.

Target group 

Graduates of Departments of Mathematics, Science or Engineering.

Participation fees

5500 € (two installments 1st: 250€ 30/09/2025 – 22/10/2025, 2nd: 250€ 1-15/12/2025).

Discount policy 

Percentage of discount  20%

more information

This online seminar is aimed at Science and Engineering graduates. Its duration is 8 months and consists of four units:

1. Python Programming

2. Python & Data

3. Supervised Learning

4. Unsupervised Learning

The flow of the educational process consists of asynchronous study spanning over two weeks approximately, followed by a three-hour remote synchronous workshop (via Zoom). The workshops have strong interaction with active participation of all trainees. The attendance of the trainees in the workshops is mandatory.

The first introductory meeting will be held on Thursday 2st, October 2025, at 7 pm.

At the end of each unit, a mandatory programming assignment will be submitted.

You can view the detailed scheduling of the seminar at this link