Philadelphia, PA – Regus at One Liberty Place

1650 Market St suite 3600, Philadelphia, United States, 19103

The venue is centrally located in Center City Philadelphia at One Liberty Place, which is easily accessible by car via I‑76, I‑95, and the Schuylkill Expressway, with several public parking garages nearby. From Philadelphia International Airport (PHL), a taxi or rideshare takes around 20–25 minutes via I‑76 East. Public transit is seamless: the 15th Street and Suburban Station SEPTA stops are a block away, and multiple bus and Regional Rail lines serve Market Street, positioning the venue within a few minutes' walk of major transit hubs.

Pittsburgh, PA – Regus at Keystone Building

500 Grant St Downtown, Suite 2900, Pittsburgh, United States, 15219

The venue is located in downtown Pittsburgh within the Keystone Building on Smithfield Street, easily accessible by car via I‑376 (Parkway West/East), I‑279, and I‑579, with multiple public parking garages nearby. From Pittsburgh International Airport (PIT), approximately 20 minutes away, taxis or rideshares typically follow Parkway into the city. Public transit is excellent—Robert Morris or Steel Plaza subway stations are a short walk away, and multiple bus routes serve downtown corridors.

Explore Our Courses

Administration of CUDA

 35 Hours

This instructor-led, live training in Philadelphia (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 Philadelphia (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
Philadelphia, PA – Regus at One Liberty Place
$ 4151 (Online)
$ 4151 (Classroom)

GPU Programming with CUDA and Python

2025-10-07 9:30 am
14 hours
Philadelphia, PA – Regus at One Liberty Place
$ 4151 (Online)
$ 4151 (Classroom)

GPU Programming with CUDA and Python

2025-10-21 9:30 am
14 hours
Philadelphia, PA – Regus at One Liberty Place
$ 4151 (Online)
$ 4151 (Classroom)

GPU Programming with CUDA and Python

2025-11-04 9:30 am
14 hours
Philadelphia, PA – Regus at One Liberty Place
$ 4151 (Online)
$ 4151 (Classroom)

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CUDA (Compute Unified Device Architecture) Consulting
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