Rzeszów

RISE, Plac Wolności 13, Rzeszów, Poland, 35-073

The training room is located in the very heart of Rzeszow, making it easily accessible for participants. In the immediate vicinity, there are major public transportation hubs, such as city buses (MPK), railways (PKP), and long-distance buses (PKS), facilitating access from various parts of the city and beyond. Additionally, there is an underground parking garage at the Center Park gallery nearby, providing convenient parking for those using their own vehicles.

Głogów Małopolski

NobleProg , Strefowa 1, Głogów Małopolski, Poland, 36-060

The training room is located just 10 km southwest of Rzeszow, directly on the Rzeszow-Radom route, providing easy access from both cities. Additionally, its proximity to the A4 motorway and Jasionka airport facilitates transportation for both car travelers and those utilizing air transport.

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)

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