Tampa, FL – Regus at Wells Fargo Center

100 S. Ashley Drive, Suite 600, Tampa, United States, 33602

The venue is located in the 22-story Wells Fargo Center in downtown Tampa, easily accessible by car via I‑275, I‑4, I‑75, or the Selmon Expressway, with covered garage parking (610+ spaces) directly connected to the building. From Tampa International Airport (TPA), a taxi or rideshare takes about 15 minutes via I‑275 East and Ashley Drive. Public transit is excellent with the Downtown Tampa Station (NFTA Metro Rail) just a block away and several bus routes running along Ashley and Brorein Streets, making it ideal for attendees arriving without cars.
NobleProg Training Place, City Tampa, FL - Regus - One Urban Centre at Westshore

Tampa, FL - Regus - One Urban Centre at Westshore

4830 W Kennedy Blvd #600, Tampa, United States, 33609

The venue is located in the Westshore business district at 4830 West Kennedy Boulevard, seamlessly accessible by car via I‑275 or I‑75 with secure underground and surface parking on-site. From Tampa International Airport (TPA), take Memorial Highway to I‑275 South and exit at West Kennedy Boulevard—taxi or rideshare typically takes about 15–20 minutes. Public transit users can reach the venue via HART bus routes (such as Route 2 or 32) stopping nearby, followed by a short walk into the building lobby.

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Administration of CUDA

 35 Hours

This instructor-led, live training in Tampa (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 Tampa (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
Tampa, FL - Regus - One Urban Centre at Westshore
$ 4151 (Online)
$ 4151 (Classroom)

GPU Programming with CUDA and Python

2025-10-07 9:30 am
14 hours
Tampa, FL – Regus at Wells Fargo Center
$ 4151 (Online)
$ 5151 (Classroom)

GPU Programming with CUDA and Python

2025-10-21 9:30 am
14 hours
Tampa, FL - Regus - One Urban Centre at Westshore
$ 4151 (Online)
$ 4151 (Classroom)

GPU Programming with CUDA and Python

2025-11-04 9:30 am
14 hours
Tampa, FL – Regus at Wells Fargo Center
$ 4151 (Online)
$ 5151 (Classroom)

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CUDA (Compute Unified Device Architecture) Consulting
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