GPU Training in Vrindavan

GPU Training in Vrindavan

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 Vrindavan or in NobleProg corporate training centers in Vrindavan.

NobleProg -- Your Local Training Provider

Vrindavan, Gopalgarh Tehra Road

Vrindavan, Gopalgarh Tehra Road
Khasra No. 797, Gopalgarh Tehra Road, Vrindavan, Mathura, Uttar Pradesh 281121 Near Prem Mandir Vrindavan
Vrindavan, UP 281121
India
See map: Google Maps
Uttar Pradesh IN
Vrindavan, Gopalgarh Tehra Road
Learn GPU in our training center in Vrindavan.

Nearby 2.1 km from the Prem Mandir Vrindavan religious complex, 4.5 km from the Hindu Shri Banke Bihari Mandir and 9 km from the riverside Vishram Ghat monument. 

Details about Classroom

All the centres have state of the art audio/video webinars/seminars and presentation solutions. We also provide one-on-one Training sessions upon request. We encourage our students and delegates to bring along their own laptops during the exercises, as this...

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Graphics Processing Unit (GPU) Subcategories

GPU Course Events - Vrindavan

GPU Course Outlines in Vrindavan

Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
Overview
This course covers how to program GPUs for parallel computing. Some of the applications include deep learning, analytics, and engineering applications.
14 hours
Overview
This instructor-led, live training in Vrindavan (online or onsite) is aimed at 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.
21 hours
Overview
This instructor-led, live training course in Vrindavan covers how to program GPUs for parallel computing, how to use various platforms, how to work with the CUDA platform and its features, and how to perform various optimization techniques using CUDA. Some of the applications include deep learning, analytics, image processing and engineering applications.
14 hours
Overview
This instructor-led, live training in Vrindavan (online or onsite) is aimed at developers who wish to build hardware-accelerated object detection and tracking models to analyze streaming video data.

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

- 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.
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