Bruges

NH Hotel Bruges, Boeveriestraat 2, Bruges, Belgium, 8000

Bruges became a central port, commercial and financial hub in medieval Europe, linking the countries of the North Sea and the Baltic to the Mediterranean. Wealthy merchants from Bruges traded with those from all over Europe. The first stock exchange in history was born in Bruges in the 13th century. In the 15th century it was the leading financial center in Europe. This economic boom also leads to a cultural and artistic flowering that has left an abundant heritage. It was the most important center for the Flemish primitive painters, who revolutionized Western painting. It has been a member of the Organization of World Heritage Cities since the year 2000. The city even has the distinction of appearing three times on the UNESCO World Heritage List. For its historic center, for its beguinage which is part of the Flemish Beguinages and for its belfry included among the Belfries of Belgium and France. In addition, it is also listed as Intangible Cultural Heritage of Humanity by UNESCO for its Procession of the Holy Blood.

The nearest airport to the training center

  • OSTEND-BRUGES INTERNATIONAL AIRPORT

Closest train station to the training center

  • Brugge Station

The closest car park to the training center

  • Interparking 't Zand

Cafés restaurants bars nearby

  • Leffe Restaurant
  • Bocca Restaurant
  • Bar Parazzar

Subcategories (4)

Explore Our Courses

Developing AI Applications with Huawei Ascend and CANN

21 Hours

Understanding Huawei’s AI Compute Stack: From CANN to MindSpore

14 Hours

GPU Programming with OpenACC

28 Hours

CANN SDK for Computer Vision and NLP Pipelines

14 Hours

Introduction to GPU Programming

21 Hours

Building Custom AI Operators with CANN TIK and TVM

14 Hours

GPU Programming - OpenCL vs CUDA vs ROCm

28 Hours

AI Inference and Deployment with CloudMatrix

21 Hours

CANN for Edge AI Deployment

14 Hours

ROCm for Windows

21 Hours

AMD GPU Programming

28 Hours

Introduction to CANN for AI Framework Developers

7 Hours

Performance Optimization on Ascend, Biren, and Cambricon

21 Hours

Optimizing Neural Network Performance with CANN SDK

14 Hours

Migrating CUDA Applications to Chinese GPU Architectures

21 Hours

GPU Programming with CUDA

28 Hours

Deploying AI Models with CANN and Ascend AI Processors

14 Hours

GPU Programming on Biren AI Accelerators

21 Hours

Cambricon MLU Development with BANGPy and Neuware

21 Hours

Administration of CUDA

35 Hours

GPU Programming with OpenCL

28 Hours

GPU Programming with CUDA and Python

14 Hours

NVIDIA GPU Programming - Extended

21 Hours

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Provisional Upcoming Courses (Contact Us For More Information)

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