AI

AI in the Enterprise: a guide for managers from strategy to deployment

AI_MANAGERS | Duration 1 day | 13 terms

This course is designed for managers and executives across departments - from strategy, marketing, HR and IT to development, finance and customer service. It will show you how to use AI in your business practice effectively, safely [...]

Microsoft Azure AI Fundamentals

MOC AI-900 | Duration 1 day | 7 terms

V tomto kurzu se seznámíte se základními pojmy souvisejícími s umělou inteligencí (AI) a se službami v Microsoft Azure, které lze využít k vytváření řešení AI. Cílem kurzu není naučit studenty stát se profesionálními datovými vědci [...]

Designing and Implementing a Microsoft Azure AI Solution

MOC AI-102 | Duration 5 days | 7 terms

This course is intended for software developers wanting to build AI infused applications that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. The course will use C# or Python as the programming [...]

Python - Introduction to Machine Learning

PYTHON_ML | Duration 5 days | 4 terms

The training provides the necessary introduction to the issue of machine learning in the Python programming language. During five days we will take over the issue of machine learning in practical cases with and without a teacher [...]

Python - Backpropagation in neural networks

PYTHON_ML_BP | Duration 5 days | 3 terms

Backpropagation is a learning algorithm in neural networks that is used to adapt the weights in the network to minimize the prediction error at the output of the network. The backpropagation process consists of two main steps. The [...]

Python - Convolutional neural networks

PYTHON_ML_CNN | Duration 5 days | 2 terms

Convolutional Neural Networks (CNN) are a type of neural networks that are often used to solve image processing problems, such as image classification, object detection, and image segmentation. Convolutional networks are based on [...]

Python - Deep Learning

PYTHON_ML_DP | Duration 5 days | 3 terms

Deep learning is a set of machine learning techniques that make it possible to learn a complex representation of data using multilayer neural networks. These networks are able to extract and process information from multiple levels [...]

Python - Neural networks

PYTHON_ML_NN | Duration 5 days | 2 terms

Neural networks are a set of mathematical models designed to process information similar to how brain neurons work. Neural networks consist of a number of neurons that are interconnected using weights and process input data to [...]

Artificial intelligence for everyone

MLC_AIFE | Duration 1 day | No scheduled terms

The aim of this course is to introduce the general public to the basics of artificial intelligence. No knowledge of programming or other technical disciplines is required to understand the course. In a gentle way, we will explain [...]

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 Bootcamp

MLC_BPP | Duration 5 days | 2 terms

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 [...]

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 [...]

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 [...]

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 [...]

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 [...]

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, [...]

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 [...]

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 [...]

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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