Bangor, Maine

700 Main St, Suite 3, Bangor, United States, 04401

This venue is conveniently situated near downtown Bangor, with easy access by car via I‑95 and US‑2. There is nearby public parking garages and metered on-street parking. From Bangor International Airport (BGR), about 8 miles northwest, a taxi or rideshare typically takes around 15 minutes via ME‑15 and I‑95 South. The public transit service, BAT Commuter, operates bus routes that run along Main Street with stops just a short walk from the building.
NobleProg Training Place, City Portland, ME - Regus at Congress Street

Portland, ME - Regus at Congress Street

400 Congress St, Suite 300, Portland, United States, 04101

The venue is located in Portland’s central business district on Congress Street, with easy car access via I‑95, I‑295, and US‑1, and several public parking garages nearby. From Portland International Jetport (PWM), roughly 3 km away, a taxi or rideshare via Congress Street takes around 10 minutes. Public transportation is convenient, with the Congress St & Elm St bus stop at the building entrance providing multiple Greater Portland Metro bus routes.

Explore Our Courses

Administration of CUDA

 35 Hours

This instructor-led, live training in Maine (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 Maine (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
Bangor, Maine
$ 6757 (Online)
$ 6757 (Classroom)

GPU Programming with CUDA and Python

2026-02-04 09:30
14 hours
Bangor, Maine
$ 4151 (Online)
$ 4151 (Classroom)

Administration of CUDA

2026-02-23 09:30
35 hours
Bangor, Maine
$ 6757 (Online)
$ 6757 (Classroom)

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CUDA (Compute Unified Device Architecture) Consulting
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