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Gdynia

Hotel Nadmorski, Ejsmonda 2, Gdynia, Poland, 81-409

The training room is located just 3 kilometers from the PKP/PKS Station in Gdynia, making it easily accessible for participants traveling by train or bus. Additionally, it is only 400 meters away from the bus stop, facilitating access even for those using public transportation. It is equipped with necessary training tools such as a projector, screen, and flipchart, providing comfortable conditions for both participants and the trainer.

Gdańsk

Hotel Fahrenheit, Grodzka 19, Gdańsk, Poland, 80-841

The training room is located in the very heart of the picturesque Gdansk Old Town, making the surroundings not only inspiring but also exceptionally attractive for participants. Within close proximity, you can find the railway and bus stations, facilitating arrival for those traveling by both train and bus. Additionally, the airport and port are also within reach, making this location convenient for individuals coming from distant places, both domestically and internationally.

Subcategories (2)

Explore Our Courses

Python for Autonomous Agents: Tooling, SDKs & Orchestration

21 Hours

Agentic AI Engineering with Python — Build Autonomous Agents

21 Hours

Artificial Intelligence with Python (Intermediate Level)

35 Hours

AWS Cloud9 and Python: A Practical Guide

14 Hours

Data Analytics with Python in Power BI

28 Hours

Python for Data Tasks: Basic & Intermediate with Pandas and Polars

14 Hours

Advanced Python: Best Practices and Design Patterns

28 Hours

Python Programming Fundamentals using Google Colab

14 Hours

FARM (FastAPI, React, and MongoDB) Full Stack Development

14 Hours

ROS for Mobile Robots using Python

21 Hours

Python Programming - 4 days

28 Hours

Advanced Python - 4 Days

28 Hours

Python Programming Fundamentals

14 Hours

Python: Automate the Boring Stuff

14 Hours

Advanced Machine Learning with Python

21 Hours

Data Analysis with Python, Pandas and Numpy

14 Hours

Machine Learning with Python – 4 Days

28 Hours

Python Programming for Finance

35 Hours

Introduction to Data Science and AI using Python

35 Hours

Applied AI from Scratch in Python

28 Hours

Test Automation with Selenium and Python

14 Hours

Python for Matlab Users

14 Hours

Python for Data Analysis

21 Hours

Python for Programmers

21 Hours

Bespoke Applied Artificial Intelligence and LLM Engineering with Python

35 Hours

Building Dashboards and Applications with the Streamlit Library

14 Hours

Developing APIs with Python and FastAPI

14 Hours

Building Web Applications with FastAPI and Databases

21 Hours

Fraud Detection with Python and TensorFlow

14 Hours

Integration of Python with Relational Databases

7 Hours

Python for Network Engineers

14 Hours

Python for Business Analysis and Automation

21 Hours

Data Analysis in Python – NumPy, Pandas, and Visualization

21 Hours

Python Programming

70 Hours

Computer Vision with Python

14 Hours

Python for Unix / Shell Users – Automation and Scripting

21 Hours

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Testimonials (10)

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