Tarnów

Hotel Tarnovia, Kościuszki 10, Tarnów, Poland, 33-100

The NobleProg Classroom is located in the Tarnovia hotel at Kościuszki 10 street in Tarnow. & Strbina district where Tarnowia is located & nbsp; the largest & nbsp; district in Tarnów. The train station from the training hall is 500 meters, it is about 6 minutes walk, from the PKS bus station the distance is about 350 meters, a walk through Krakowska Street will take about 4 minutes.

Kraków

Archeion, Św. Filipa 23/6, Kraków, Poland, 30-636

The training rooms are located at 23/6 Św. Filipa Street in Krakow, just 3 minutes from the main train station, near the Stary Kleparz market. Additionally, they can be reached by any public transportation line operating in the vicinity of Basztowa, Lubicz, Pawia, Matejki Square, and Długa Street, making them easily accessible for participants traveling from different parts of the city.

Zakopane

Dafne, Jagiellońska 30, Zakopane, Poland, 34-500

The training room is located just 350 meters from the railway and bus stations and 700 meters from Krupówki, the main shopping street in Zakopane. There is a fenced parking area on the premises, providing convenience for participants traveling by car and facilitating access to the facility.

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)

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Deep Learning for Vision

21 Hours

Accelerating Deep Learning with FPGA and OpenVINO

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Fraud Detection with Python and TensorFlow

14 Hours

Distributed Deep Learning with Horovod

7 Hours

Introduction Deep Learning & Réseaux de neurones pour l’ingénieur

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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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