Shelton, CT – Regus at One Reservoir Corporate Centre

4 Research Drive, Suite 402, Shelton, United States, 06484

The venue is located within the One Reservoir Corporate Centre business park on Research Drive, easily accessible by car via Route 8 or the Wilbur Cross Parkway, with ample free on-site and adjacent parking. From Tweed New Haven Airport (HVN), approximately 19 miles south, a taxi or rideshare typically takes 25–30 minutes via Route 34 and I‑95 North. Public transit is available via local bus stops on Waterview Drive and Constitution Boulevard South, within a few minutes’ walk to the building entrance, offering convenient options for attendees without a car.

Bridgeport, CT – Regus at Downtown Bridgeport

1000 Lafayette Blvd Downtown, Suite 1100, Bridgeport, United States, 06604

The venue is centrally located in Bridgeport’s downtown core at 1000 Lafayette Boulevard, easily accessible by car via I‑95 and US‑1, with several parking garages nearby and on-site amenities. From Bradley International Airport (BDL), approximately 50 miles north, a taxi or rideshare typically takes 60–70 minutes via I‑84 and I‑95 South. For those using public transit, Metro-North Rail’s Bridgeport Station is about a 5-minute walk from the building, and local Greater Bridgeport Transit (GBT) buses serve stops along Broad and Fairfield Avenues, placing the venue within a short walk for commuters.

Explore Our Courses

Administration of CUDA

 35 Hours

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

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

  • Understand the architecture, components, and capabilities of CUDA.
  • Install and configure CUDA environments.
  • Manage and optimize CUDA resources.
  • Debug and troubleshoot common CUDA issues.
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GPU Programming with CUDA and Python

 14 Hours

This instructor-led, live training in Connecticut (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.

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

  • Use the Numba compiler to accelerate Python applications running on NVIDIA GPUs.
  • Create, compile and launch custom CUDA kernels.
  • Manage GPU memory.
  • Convert a CPU based application into a GPU-accelerated application.
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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

GPU Programming with CUDA and Python

2025-09-23 9:30 am
14 hours
Shelton, CT – Regus at One Reservoir Corporate Centre
$ 4151 (Online)
$ 4151 (Classroom)

GPU Programming with CUDA and Python

2025-10-07 9:30 am
14 hours
Shelton, CT – Regus at One Reservoir Corporate Centre
$ 4151 (Online)
$ 4151 (Classroom)

GPU Programming with CUDA and Python

2025-10-21 9:30 am
14 hours
Shelton, CT – Regus at One Reservoir Corporate Centre
$ 4151 (Online)
$ 4151 (Classroom)

GPU Programming with CUDA and Python

2025-11-04 9:30 am
14 hours
Shelton, CT – Regus at One Reservoir Corporate Centre
$ 4151 (Online)
$ 4151 (Classroom)

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