Using Vision-based Applications with the Kria KV260 Vision AI Starter Kit & System-on-Module (SOM)

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.

Click here for more information from AMD Xilinx about the Kria SOM.

You can also check out our webinar on Getting Started with the Kria SOM.

The emphasis of this course is on:

  • Providing an overview of the Kria K26 SOM and its advantages
  • Providing an overview of the Kria KV260 Vision AI Starter Kit and how to get started with the kit
  • Running accelerated applications, such as the Smart Camera, AI Box, and Defect Detection applications, using the kit
  • Running the NLP SmartVision demo application using the kit with the PetaLinux and Ubuntu images
  • Building the hardware and software design components from scratch
  • Customizing the AI models used in the applications
  • Reviewing the design guidelines for developers to design their own carrier card
2-Day Instructor-led CoursePrice USDTraining Credits
Hosted Online - $299/day$5986
In-Person Registration - $399/day$7988
Printed Course Book (A PDF book is included in the course fee)$1001
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SCHEDULED CLASSES

Coming soon!
View our Full Calendar for class date status.
(Confirmed, Closed, Full)

Training Duration:

2 Days

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Who should attend:

Software and AI developers who want to get started with using Kria SOMs.

Skills Gained

After completing this comprehensive training, you will have the necessary skills to:

  • Describe the Kria K26 SOM and its advantages
  • Describe the features and capabilities of the KV260 Vision AI Starter Kit carrier card
  • Get started with the Vision AI Starter Kit
  • Deploy vision-based applications, such as the Smart Camera, AI Box, Defect Detection, and NLP SmartVision applications, using the kit
  • Build the hardware and software design components from scratch
  • Customize the AI models used in the applications
  • Design your own carrier card

Course Outline

Day 1Day 2
  • Kria System-on-Module (SOM) Overview
    Introduces the Kria K26 SOM and describes its advantages. Also outlines the features, functional interfaces, mechanical, and thermal aspects of the SOM. {Lecture}
  • Kria KV260 Vision AI Starter Kit Overview
    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. {Lecture}
  • Getting Started with the Vision AI Starter Kit
    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. {Lecture,
    Demos}
  • Introduction to Vitis Video Analytics SDK (VVAS)
    Provides an overview of the Vitis Video Analytics SDK (VVAS) technology and its core components. {Lecture}
  • Accelerating Applications with the KV260 Vision AI Starter Kit
    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. {Lecture, Demos, Labs}
  • Building the Hardware and Software Design Components
    Illustrates how the hardware and software design components are built from scratch for an accelerated application. {Lecture, Lab}
  • Customizing the AI Models
    Shows how to customize the AI models used in the accelerated applications. {Lecture, Lab}
  • Kria SOM Carrier Card Design Guide
    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. {Lecture}

Please note: The instructor may change the content order to provide a better learning experience.

Updated 12-16-22
©2022 Advanced Micro Devices, Inc. Xilinx, Inc. is now part of AMD. Xilinx, the Xilinx logo, AMD, the AMD Arrow logo, Alveo, Artix, Kintex, Kria, Spartan, Versal, Vitis, Virtex, Vivado, Zynq, and other designated brands included herein are trademarks of Advanced Micro Devices, Inc.