GPU Training Courses

GPU Training Courses

I corsi di formazione GPU (Graphics Processing Unit) in diretta condotti da istruttori dimostrano attraverso discussioni interattive e pratiche pratiche sui fondamenti della GPU e su come programmare le GPU. L'addestramento GPU è disponibile come "allenamento dal vivo in loco" o "allenamento dal vivo a distanza". La formazione on-site in loco può essere svolta localmente presso la sede del cliente in Italia o nei centri di formazione aziendale NobleProg in Italia . La formazione in remoto dal vivo viene effettuata tramite un desktop remoto interattivo. NobleProg: il tuo fornitore di formazione locale

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Sottocategorie Graphics Processing Unit

Schema generale del corso Graphics Processing Unit (GPU)

Nome del corso
Durata
Overview
Nome del corso
Durata
Overview
14 hours
Overview
Questo corso illustra come programmare GPU per il calcolo parallelo. Alcune delle applicazioni includono l'apprendimento profondo, l'analisi e le applicazioni di ingegneria.
14 hours
Overview
CUDA (Compute Unified Device Architecture) is a parallel computing platform and API created by Nvidia.

This instructor-led, live training (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.

Format of the Course

- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.

Course Customization Options

- To request a customized training for this course, please contact us to arrange.
21 hours
Overview
Questo corso di formazione dal vivo con istruttore illustra come programmare GPU per il calcolo parallelo, come utilizzare varie piattaforme, come lavorare con la piattaforma CUDA e le sue caratteristiche e come eseguire varie tecniche di ottimizzazione usando CUDA. Alcune applicazioni includono deep learning, analisi, elaborazione di immagini e applicazioni di ingegneria.
14 hours
Overview
Video analytics refers to the technology and techniques used to process a video stream. A common application would be capturing and identifying live video events through motion detection, facial recognition, crowd and vehicle counting, etc.

This instructor-led, live training (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.

Format of the Course

- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.

Course Customization Options

- To request a customized training for this course, please contact us to arrange.

Prossimi corsi Graphics Processing Unit (GPU)

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