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 Manila can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Joy Nostalg
ADB Avenue, Pasig, Philippines
Modern, conducive and equipped for our training courses
Manila Enterprise Makati
28th Floor, Tower 2, The Enterprise Centre, Manila, Philippines, 1226
Manila's Enterprise Makati Centre is at the heart of the business and finance district in one of the most popular commercial buildings in Makati City. This business centre overlooks the skyscrapers of Makati and from the board rooms there are stunning views of the historic Manila Bay. Described as 'The Business Building Designed for Building Business', it is in a neo-classical landmark twin tower building with magnificently designed facilities, a range of retail and leisure facilities and seven levels of underground parking accommodating 1,200 vehicles. Makati is the country's undisputed financial centre and commercial hub and is home to the headquarters of the 40 per cent of the top 1,000 multinational and local corporations. The city has the most developed telecommunications infrastructure in the country. Transport links are excellent and the Ninoy Aquino International Airport is just five kilometres away.
This instructor-led, live training in Manila (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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