Miami, FL – Regus at Waterford at Blue Lagoon

6303 Blue Lagoon Drive, Suite 400, Miami, United States, 33126

The venue is set within the Waterford business park at 6303 Blue Lagoon Drive, just minutes from Miami International Airport. It’s accessible by car via I‑95, Florida Turnpike, 826, or Dolphin Expressway, with abundant covered and surface parking on-site. From Miami International Airport (MIA), a taxi or rideshare takes approximately 10 minutes via the Dolphin Expressway. Public transit options include TheBus routes and nearby Tri-Rail stations, with the property a short walk from bus stops—making it convenient even for attendees without a car.

Miami Beach, FL – Regus at Meridian Center

1688 Meridian Avenue, Suites 600/700, Miami Beach, United States, 33139

The venue is located on the corner of Meridian Avenue and 17th Street in Miami Beach’s vibrant City Center district, accessible by car via I‑195 and the MacArthur Causeway with underground and street parking nearby. From Miami International Airport (MIA), taxis or rideshares typically take 15–20 minutes via I‑195 East and Biscayne Boulevard. Public transit is seamless: several Metrobus routes serve Meridian Avenue, and the nearby 17th Street trolley stop makes it easy to reach without a car. The central location places the venue steps from the Miami Beach Convention Center, Lincoln Road Mall, restaurants, galleries, and retail.

Explore Our Courses

Administration of CUDA

 35 Hours

This instructor-led, live training in Miami (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 Miami (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
Miami Beach, FL – Regus at Meridian Center
$ 4151 (Online)
$ 4151 (Classroom)

GPU Programming with CUDA and Python

2025-10-07 9:30 am
14 hours
Miami, FL – Regus at Waterford at Blue Lagoon
$ 4151 (Online)
$ 4151 (Classroom)

GPU Programming with CUDA and Python

2025-10-21 9:30 am
14 hours
Miami Beach, FL – Regus at Meridian Center
$ 4151 (Online)
$ 4151 (Classroom)

GPU Programming with CUDA and Python

2025-11-04 9:30 am
14 hours
Miami, FL – Regus at Waterford at Blue Lagoon
$ 4151 (Online)
$ 4151 (Classroom)

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CUDA (Compute Unified Device Architecture) Consulting
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