
Online or onsite, instructor-led live GPU (Graphics Processing Unit) training courses demonstrate through interactive discussion and hands-on practice the fundamentals of GPU and how to program GPUs.
GPU training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live GPU training can be carried out locally on customer premises in Macao or in NobleProg corporate training centers in Macao.
NobleProg -- Your Local Training Provider
Testimonials
Very interactive with various examples, with a good progression in complexity between the start and the end of the training.
Jenny - Tristan Soubrié, Andheo
Course: GPU Programming with CUDA and Python
Interesting introduction to Numba, good examples and ressources
Tristan Soubrié, Andheo
Course: GPU Programming with CUDA and Python
The trainer really targeted our need to a very specific case study and was able to adapt to the situation (as the solutions to our problematic evolved during the course), beyond the upstream preparation he did.
Anne-Sophie Schwindenhammer
Course: Inkscape
GPU Subcategories in Macao
Graphics Processing Unit (GPU) Course Outlines in Macao
- Install and configure the necessary development environment, software and libraries to begin developing.
- Build, train, and deploy deep learning models to analyze live video feeds.
- Identify, track, segment and predict different objects within video frames.
- Optimize object detection and tracking models.
- Deploy an intelligent video analytics (IVA) application.
- 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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