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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 (7)

Explore Our Courses

Introduction to Pre-trained Models

14 Hours

Creating Custom Chatbots with Google AutoML

14 Hours

Optimizing AI Models for Edge Devices

14 Hours

Building AI Solutions on the Edge

14 Hours

DeepSeek: Advanced Model Optimization and Deployment

14 Hours

MLOps on Kubernetes: CI/CD Pipelines for Machine Learning

14 Hours

Kubeflow Essentials: Build, Train & Serve with Kubernetes

14 Hours

Building End-to-End TinyML Pipelines

21 Hours

Edge AI with TensorFlow Lite

14 Hours

AI-Powered Autonomous Systems

21 Hours

Computer Vision with Google Colab and TensorFlow

21 Hours

Security and Privacy in TinyML Applications

21 Hours

Advanced Machine Learning Models with Google Colab

21 Hours

AI-Enhanced Yield Management in Semiconductor Production

14 Hours

Machine Learning for Business and AI Applications

21 Hours

Predictive Maintenance with AI in Semiconductor Manufacturing

14 Hours

Advanced AI Techniques for Semiconductor Design Automation

21 Hours

Deep Learning with TensorFlow in Google Colab

14 Hours

AI-Driven Process Optimization in Chip Fabrication

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Apache Airflow for Data Science: Automating Machine Learning Pipelines

21 Hours

Machine Learning with Google Colab

14 Hours

Optimizing TinyML Models for Performance and Efficiency

21 Hours

Explainability in Deep Learning: Demystifying Black-Box Models

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Introduction to AI in Semiconductor Manufacturing

14 Hours

Docker for MLOps: End-to-End Pipeline Containerization

21 Hours

Machine Learning and AI with ML.NET

21 Hours

Machine Learning and Predictive Analytics with Python

28 Hours

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

21 Hours

AI-Powered Cybersecurity: Advanced Threat Detection & Response

28 Hours

Deploying AI on Microcontrollers with TinyML

21 Hours

AI-Powered Cybersecurity: Threat Detection & Response

21 Hours

AlphaFold: AI-Driven Protein Structure Prediction and Interpretation

7 Hours

Advanced Analytics with RapidMiner

14 Hours

Introduction to Stable Diffusion for Text-to-Image Generation

21 Hours

Introduction to TinyML

14 Hours

Machine Learning with Python – 4 Days

28 Hours

Applied AI from Scratch in Python

28 Hours

Deep Reinforcement Learning with Python

21 Hours

Artificial Intelligence (AI) Overview

7 Hours

Artificial Intelligence (AI) in Automotive

14 Hours

AI Engineering Mastery: From Python Engineering to Production-Ready AI Systems

56 Hours

Artificial Neural Networks, Machine Learning, Deep Thinking

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Pattern Recognition

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Fraud Detection with Python and TensorFlow

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Fundamentals of Artificial Intelligence (AI) and Machine Learning

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Introduction to Machine Learning for Data Analysis

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Machine Learning with Python

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MLOps: CI/CD for Machine Learning

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Machine Learning for Data Science with Python

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Deep Learning with TensorFlow 2

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Understanding Deep Neural Networks

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