

TechSource Systems is MathWorks Authorised Reseller and Training Partner
This course will help you learn about the Kria™ System-on-Module (SOM) and Kria KV260 Vision AI Starter Kit, enabling you to accelerate vision-based applications using the KV260 Starter Kit right out of the box without any installation or FPGA knowledge.
The course also provides information on how you can build your own hardware and software components, customize an AI model, and perform benchmarking. In addition, design guidelines for developing your own carrier card are covered.
The emphasis of this two days course is on:
Software and AI developers who want to get started with using Kria SOMs
After completing this comprehensive training, you will have the
necessary skills to:
TechSource Systems is MathWorks Authorised Reseller and Training Partner
Objective: Introduces the Kria K26 SOM and describes its advantages. Also outlines the features, functional interfaces, mechanical, and thermal aspects of the SOM.
Objective: Provides an overview of the Kria KV260 Vision AI Starter Kit, its features, and interfaces. The boot devices, heat sink, firmware, and power-on sequence for the kit are also described.
Objective: Covers how the initial board setup looks like and how to set up the SD card, make the necessary connections with the kit, and boot the kit. Also shows how to use the platform management utility to install, select, and deploy different applications.
Objective: Provides an overview of the Vitis Video Analytics SDK (VVAS) technology and its core components.
Objective: Describes the top-level block diagram and pipeline stages for different accelerated applications, such as the Smart Camera, AI Box, Defect Detection, NLP SmartVision applications. Also demonstrates how to deploy these applications using the KV260 Starter Kit.
Objective: Illustrates how the hardware and software design components are built from scratch for an accelerated application.
Objective: Shows how to customize the AI models used in the accelerated applications.
Objective: Outlines the electrical, mechanical, firmware, thermal, and power-on configuration design considerations that must be addressed as part of designing an AMD-Xilinx SOM-compatible carrier card.