GPU Schulungen

GPU Schulungen

Lokale, vom Ausbilder geleitete Live-GPU-Kurse (Graphics Processing Unit) demonstrieren durch interaktive Diskussionen und praktische Übungen die Grundlagen der GPU und die Programmierung von GPUs. GPU-Training ist als "Live-Training vor Ort" oder "Fern-Live-Training" verfügbar. Onsite Live Training kann vor Ort bei Kunden durchgeführt werden Österreich oder in NobleProg Corporate Trainingszentren in Österreich . Remote-Live-Training wird über einen interaktiven Remote-Desktop durchgeführt. NobleProg - Ihr lokaler Trainingsanbieter

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Erfahrungsberichte

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GPU (Graphics Processing Unit) Kurspläne

Name des Kurses
Dauer
Überblick
Name des Kurses
Dauer
Überblick
14 Stunden
Überblick
In diesem Kurs wird das Programmieren von GPU für Parallel Computing behandelt. Einige der Anwendungen umfassen Deep Learning-, Analytics- und Engineering-Anwendungen.
14 Stunden
Überblick
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 Stunden
Überblick
In diesem von Lehrern geführten Live-Schulungskurs erfahren Sie, wie Sie GPU für Parallel Computing programmieren, wie Sie verschiedene Plattformen verwenden, wie Sie mit der CUDA-Plattform und ihren Funktionen arbeiten und wie Sie verschiedene Optimierungstechniken mit CUDA ausführen. Einige der Anwendungen umfassen Deep Learning-, Analytics-, Bildverarbeitungs- und Engineering-Anwendungen.
14 Stunden
Überblick
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.

Zukünftige GPU Kurse

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As a NobleProg Trainer you will be responsible for:

  • delivering training and consultancy Worldwide
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  • creating new courses outlines
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At the moment we are focusing on the following areas:

  • Statistic, Forecasting, Big Data Analysis, Data Mining, Evolution Alogrithm, Natural Language Processing, Machine Learning (recommender system, neural networks .etc...)
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