NobleProg Training Place, City Fargo, ND - Railyard Offices NobleProg Training Place, City Fargo, ND - Railyard Offices

Fargo, ND - Railyard Offices

1630 1st Avenue North, Suite B, Fargo, United States,  58102

The venue is situated in the midst of downtown Fargo at 1630 1st Avenue North, conveniently accessible by car via I‑94 or I‑29 with exits onto 1st Avenue North; public parking is available nearby. From Hector International Airport, take I‑94 East to exit toward downtown, then follow signs to 1st Avenue North—approximately a 15‑minute taxi or rideshare ride. Public transit riders can use MATBUS routes that stop within walking distance, and the venue is located in a pedestrian-friendly area.

Explore Our Courses

Administration of CUDA

 35 Hours

This instructor-led, live training in Fargo (online or onsite) is aimed at beginner-level system administrators and IT professionals who wish to install, configure, manage, and troubleshoot CUDA environments for government use.

By the end of this training, participants will be able to:

  • Understand the architecture, components, and capabilities of CUDA for government applications.
  • Install and configure CUDA environments in alignment with public sector workflows.
  • Manage and optimize CUDA resources to meet governance and accountability standards.
  • Debug and troubleshoot common CUDA issues to ensure reliable performance for government operations.
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GPU Programming with CUDA and Python

 14 Hours

This instructor-led, live training in Fargo (online or onsite) is aimed at intermediate-level developers who wish to use CUDA to build Python applications that run in parallel on NVIDIA GPUs for government projects.

By the end of this training, participants will be able to:

  • Leverage the Numba compiler to accelerate Python applications running on NVIDIA GPUs for government use.
  • Develop, compile, and deploy custom CUDA kernels for government applications.
  • Effectively manage GPU memory in government computing environments.
  • Transform a CPU-based application into a GPU-accelerated application suitable for government operations.
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Testimonials (1)

Very interactive with various examples, with a good progression in complexity between the start and the end of the training.

Jenny - Andheo

Course - GPU Programming with CUDA and Python

Upcoming Courses

Administration of CUDA

2026-01-26 09:30
35 hours
Fargo, ND - Railyard Offices
$ 6757 (Online)
$ 6757 (Classroom)

GPU Programming with CUDA and Python

2026-02-04 09:30
14 hours
Fargo, ND - Railyard Offices
$ 4151 (Online)
$ 4151 (Classroom)

Administration of CUDA

2026-02-23 09:30
35 hours
Fargo, ND - Railyard Offices
$ 6757 (Online)
$ 6757 (Classroom)

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CUDA (Compute Unified Device Architecture) Consulting
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