Accelerating Deep Learning with FPGA and OpenVINO Training Course

FPGA (Field Programmable Gate Array) is an integrated circuit specifically designed to boost the performance of deep learning tasks. OpenVINO, by contrast, is an open-source toolkit optimised to run deep learning models efficiently on Intel hardware.

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

Upon completing the training, participants will be able to:

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

The course is delivered through interactive lectures and discussions, supplemented by numerous exercises and practical sessions, including hands-on implementation in a live lab environment.

If you wish to customise the training to meet specific requirements, please contact us to arrange a tailored programme.