Accelerating Deep Learning with FPGA and OpenVINO Training Course

An FPGA (Field-Programmable Gate Array) is an integrated circuit type designed to boost deep learning workloads. In contrast, OpenVINO is an open-source toolkit aimed at optimizing deep learning models specifically for Intel hardware.

This instructor-led, live training—available either online or onsite—is designed for data scientists seeking to improve the performance of real-time machine learning applications and deploy them efficiently at scale.

Upon completion of the training, participants will be able to:

• Set up and configure the OpenVINO toolkit.
• Accelerate a computer vision application by leveraging an FPGA.
• Execute various CNN layers directly on FPGA hardware.
• Scale and manage the application across multiple nodes within a Kubernetes cluster.

The course combines interactive lectures and discussions with numerous exercises and practical sessions, including hands-on implementation in a live lab environment.

If you are interested in customizing the training to meet specific requirements, please contact us to arrange a tailored program.