Machine Learning

Artificial intelligence is an increasingly used tool in various industrial, technological and creative sectors, and there is a huge demand for experts with at least a basic knowledge of machine learning. We offer a general overview training on Artificial Intelligence for everyone, which does not require any previous knowledge and is also intended for non-technical people interested in the issue. For technically oriented people, we have a whole range of practical workshops for beginners and professionals who want to broaden their horizons. There is also a comprehensive study program on offer, which guides participants through basic theory to programming their own machine learning solutions using open source technologies. You don't need any previous experience beyond simple high school math and knowledge of Python programming.

Advanced Deep Learning Techniques

MLC_ADV | Duration 1 day | No scheduled terms

The course is intended for people who are looking for a deeper understanding of artificial neural networks, especially so called deep learning. We will build on the basic knowledge of machine learning principles on the level of our [...]

Artificial Intelligence for Managers

MLC_AIFM | Duration 1 day | No scheduled terms

The course is intended for all people who want to understand the principles of machine learning and artificial intelligence without diving into technical details. The goal is to introduce possibilities of machine learning [...]

Machine Learning for Big Data

MLC_BDATA | Duration 1 day | No scheduled terms

The aim of this course is to present an overview of tools and concepts from machine learning on big data. After going through the course, participants should be able to tell what the right tool is to be used for the given problem, [...]

machine Learning Bootcamp

MLC_BPP | Duration 5 days | 2 terms

Convolutional Neural Networks and Image Processing

MLC_CNIP | Duration 1 day | 2 terms

Our workshop is for people who are looking for hands-on experience with deep neural networks for image processing, but they didn’t have any real opportunity to do so yet. Through experiments, we will explore how and why such models [...]

Convolutional Neural Networks and Image Processing II

MLC_CNIPA | Duration 1 day | No scheduled terms

This course is a follow-up of Convolutional Networks and Image Processing in which we will focus on image data preprocessing and advanced techniques of deep learning for image processing. Apart from image classification, well known [...]

Artificial Intelligence for High School Teachers

MLC_IFT | Duration 5 days | No scheduled terms

This intensive five-day long course is intended for all high school teachers who want to start teaching artificial intelligence at their school but don’t have enough experience and knowledge in the field. The course covers the basics [...]

Introduction to Machine Learning

MLC_INTRO | Duration 2 days | 2 terms

This course is intended for beginners who have no or limited experience with machine learning and want to do their first steps in this field. The participants will learn what machine learning is, what types of ML are the most typical [...]

Natural Language Processing

MLC_NLP | Duration 1 day | No scheduled terms

This course is focused on the analysis and processing of text data. We expect knowledge of basic principles of machine learning to the same extent as the Introduction to Machine Learning course provides. Special attention will be [...]

Natural Language Processing II

MLC_NLPA | Duration 1 day | No scheduled terms

In this course, we will follow up the basic course on Natural Language Processing with advanced topics. We will mainly focus on text data preprocessing and state-of-the-art applications of deep learning in NLP. We will particularly [...]

Probabilistic Graphical Models

MLC_PGM | Duration 1 day | No scheduled terms

This course is intended for people interested in Bayesian networks and probabilistic programming. At the beginning of the course, the theoretical part will lead to a practical example of topic modeling using Latent Dirichlet [...]

Time Series

MLC_TISE | Duration 1 day | 2 terms

This course is focused on time series prediction problems. We will begin with examples of classical methods for modeling and prediction of time series and continue to more advanced methods based on machine learning. We will finish [...]

Time Series II

MLC_TISEA | Duration 1 day | No scheduled terms

The course is intended for people who want to deepen their knowledge and experience in the field of time series analysis. This is a follow-up course of Time Series, which focuses mainly on other time series domains and their [...]

Large language Models for Text Generation

MLC_VJMGT | Duration 1 day | 2 terms

This course is designed for anyone who is fascinated by the capabilities of large language models (LLMs) and generative artificial intelligence, and wants to delve into the subject beyond the basic user level. We will learn about [...]

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