Springfield, IL

427 E Monroe St, Springfield, United States, 62701

The venue is easily accessible by car via I‑55 or I‑72, taking Exit 90 (Veterans Parkway) and continuing east on Monroe Street. Parking is available at nearby Capitol and East Adams garages, along with metered street options. For those arriving by air, the Abraham Lincoln Capital Airport (SPI) is located just 6 miles away—roughly a 10 to 15-minute ride by taxi or rideshare via Clear Lake Avenue and Veterans Parkway. Public transportation is also available, with SMTD bus routes 11 and 15 stopping at 5th & Monroe, only a short walk from the venue.

Explore Our Courses

Administration of CUDA

 35 Hours

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

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

  • Understand the architecture, components, and capabilities of CUDA for government applications.
  • Install and configure CUDA environments in alignment with public sector workflows.
  • Manage and optimize CUDA resources to meet governance and accountability standards.
  • Debug and troubleshoot common CUDA issues to ensure reliable performance for government operations.
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GPU Programming with CUDA and Python

 14 Hours

This instructor-led, live training in Springfield (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 for government projects.

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

  • Leverage the Numba compiler to accelerate Python applications running on NVIDIA GPUs for government use.
  • Develop, compile, and deploy custom CUDA kernels for government applications.
  • Effectively manage GPU memory in government computing environments.
  • Transform a CPU-based application into a GPU-accelerated application suitable for government operations.
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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

Administration of CUDA

2026-01-26 09:30
35 hours
Springfield, IL
$ 6757 (Online)
$ 6757 (Classroom)

GPU Programming with CUDA and Python

2026-02-04 09:30
14 hours
Springfield, IL
$ 4151 (Online)
$ 4151 (Classroom)

Administration of CUDA

2026-02-23 09:30
35 hours
Springfield, IL
$ 6757 (Online)
$ 6757 (Classroom)

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CUDA (Compute Unified Device Architecture) Consulting
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