Wrocław

NobleProg , Ludwika Rydygiera 2a/22, Wroclaw, Poland, 50-249

Classroom is located in the city center (right next to HP Park Plaza), just 10 minutes walk from the market square.

The entrance to the building is located from the Śrutowa street.

Wrocław, Ludwika Rydygiera 2a

Check our offer to rent rooms and rent computer equipment!

Parking

Near the classroom, the number of free parking spaces is limited, there is no paid parking zone (along Rydygiera, Śrutowa and Henryka Brodatego, Bolesława Drobnera streets).

Public transport
The nearest tram stops: Dubois, Pomorska
The nearest bus stops: Dubois

Subcategories (11)

Explore Our Courses

Computer Vision with Google Colab and TensorFlow

21 Hours

Deep Learning with TensorFlow in Google Colab

14 Hours

Edge AI with TensorFlow Lite

14 Hours

Deep Learning for NLU: Beyond NLP Models

21 Hours

Advanced Stable Diffusion: Deep Learning for Text-to-Image Generation

21 Hours

AI-Driven Drug Discovery and Development

21 Hours

AlphaFold

7 Hours

DeepSpeed for Deep Learning

21 Hours

Introduction to Large Language Models (LLMs)

14 Hours

Introduction to Stable Diffusion for Text-to-Image Generation

21 Hours

Advanced Machine Learning with Python

21 Hours

Applied AI from Scratch in Python

28 Hours

Deep Reinforcement Learning with Python

21 Hours

Deep Learning for Telecom (with Python)

28 Hours

Artificial Intelligence (AI) Overview

7 Hours

Artificial Intelligence (AI) in Automotive

14 Hours

From Zero to AI

35 Hours

Artificial Neural Networks, Machine Learning, Deep Thinking

21 Hours

Applied AI from Scratch

28 Hours

Applied Machine Learning

14 Hours

Deep Learning for Vision with Caffe

21 Hours

Deep Learning Neural Networks with Chainer

14 Hours

Using Computer Network ToolKit (CNTK)

28 Hours

Pattern Recognition

21 Hours

Introduction to Deep Learning

21 Hours

DeepMind Lab

14 Hours

Advanced Deep Learning

28 Hours

Deep Learning for Business

14 Hours

Deep Learning for Banking (with Python)

28 Hours

Deep Learning for NLP (Natural Language Processing)

28 Hours

Deep Learning for Vision

21 Hours

Accelerating Deep Learning with FPGA and OpenVINO

35 Hours

Fraud Detection with Python and TensorFlow

14 Hours

Distributed Deep Learning with Horovod

7 Hours

Introduction Deep Learning & Réseaux de neurones pour l’ingénieur

21 Hours

Deep Learning with Keras

21 Hours

Machine Learning and Deep Learning

21 Hours

Neural computing – Data science

14 Hours

Python and Deep Learning with OpenCV 4

14 Hours

OpenFace: Creating Facial Recognition Systems

14 Hours

OpenNMT: Setting Up a Neural Machine Translation System

7 Hours

Advanced Machine Learning with R

21 Hours

Deep Learning with TensorFlow 2

21 Hours

Tensorflow Lite for Microcontrollers

21 Hours

TensorFlow Serving

7 Hours

Deep Learning with TensorFlow

21 Hours

TensorFlow for Image Recognition

28 Hours

TensorFlow Extended (TFX)

21 Hours

TPU Programming: Building Neural Network Applications on Tensor Processing Units

7 Hours

Natural Language Processing (NLP) with TensorFlow

35 Hours

Understanding Deep Neural Networks

35 Hours

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Testimonials (17)

Provisional Courses

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