Houston, TX - Regus – Downtown at Pennzoil Place

700 Milam Street, Suite 1300, Houston, United States, 77002

The venue is centrally located near major highways, including I‑45, I‑69, and US‑59, with convenient parking available in the building’s garage as well as nearby garages. For those arriving by air, both George Bush Intercontinental Airport (IAH) and William P. Hobby Airport (HOU) are just 7 to 10 miles away. Public transit is easily accessible via METRO bus routes, and the venue also offers tunnel access to downtown amenities.

Houston, TX – Regus at Capital One Building

5444 Westheimer Rd Uptown, Suite 1000, Houston, United States, 77056

The venue is located in the Capital One Building off Westheimer Road in the Galleria/Uptown area, easily accessed by car via I‑610, US‑59, or Westheimer, with ample attached covered parking and visitor spaces on-site. From Houston’s George Bush Intercontinental Airport (IAH), a taxi or rideshare takes approximately 25–30 minutes via I‑69 South and I‑610 West. From William P. Hobby Airport (HOU), the ride takes about 35 minutes via I‑45 North and I‑610 West. Public transit is served by Metro bus routes along Westheimer Drive with stops close to the building, enabling easy access for attendees without cars.

Explore Our Courses

Administration of CUDA

 35 Hours

This instructor-led, live training in Houston (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 Houston (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
Houston, TX – Regus at Capital One Building
$ 4151 (Online)
$ 4151 (Classroom)

GPU Programming with CUDA and Python

2025-10-07 9:30 am
14 hours
Houston, TX - Regus – Downtown at Pennzoil Place
$ 4151 (Online)
$ 5151 (Classroom)

GPU Programming with CUDA and Python

2025-10-21 9:30 am
14 hours
Houston, TX – Regus at Capital One Building
$ 4151 (Online)
$ 4151 (Classroom)

GPU Programming with CUDA and Python

2025-11-04 9:30 am
14 hours
Houston, TX - Regus – Downtown at Pennzoil Place
$ 4151 (Online)
$ 5151 (Classroom)

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CUDA (Compute Unified Device Architecture) Consulting
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