Online or onsite, instructor-led live OpenVINO training courses demonstrate through interactive hands-on practice how to use OpenVINO toolkit for optimizing Deep Learning models on Intel hardware.
OpenVINO 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 OpenVINO trainings in Amiens can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Amiens, City Center
Centre International Jules Vernes, 72 rue des Jacobins, Amiens, france, 80000
Nearest airport to the training center: Roissy Charles-de-Gaulle International Airport
Nearest train station: Amiens train s...
Nearest airport to the training center: Roissy Charles-de-Gaulle International Airport
Nearest train station: Amiens train station
Nearest parking lot to training center: Parking EFFIA Amiens The Jacobins
Nearby cafés, restaurants and bars: Restaurant L'adresse, Restaurant From's bistrot à Fromages, Bar Tower's Pub
Training can also be organized on your premises in Strasbourg or remotely. The 3rd option is to rent a room specifically for the duration of the course.
Training sessions can be given in English or French. For each session, we organize a coordination call with the trainer and participants to adapt the program to your expectations and level. Training includes theory, discussion, questions/answers and practical exercises.
Remote training is delivered via DaDesktop for training, a software package published by NobleProg that enables participants to have a workstation (VM) set up specifically for the training.
This instructor-led, live training in Amiens (online or onsite) is aimed at data scientists who wish to accelerate real-time machine learning applications and deploy them at scale.
By the end of this training, participants will be able to:
Install the OpenVINO toolkit.
Accelerate a computer vision application using an FPGA.
Execute different CNN layers on the FPGA.
Scale the application across multiple nodes in a Kubernetes cluster.
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