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NEW | Compact Edge AI Application Design Flow

Workshop


Online Live

This workshop provides an overview of implementation strategies and tooling for processing the massive computation of deep neural networks on programmable devices. The AMD adaptive SoCs are a suitable target for these approaches where, dependent on the device family, parts of the processing can be mapped to FPGA fabric (programmable logic implementation), to specific vector processing elements (AI Engines in Versal™) or the hard IP CPUs these devices offer.

Revisiting deep neural networks we deploy a Python-based modelling framework to create the topology and supporting functions to train a convolutional neural network and apply unknown data. Design strategies will be presented to run such readily trained networks on edge class devices, starting from actual HLS level implementations to mapping neural networks on predefined vectorized IP eith Vitis™ AI.

These concepts deploy directly on adaptive SoCs while these also apply to traditional FPGA targets with some supporting infrastructure added. This shows how to implement a wide range of custom models, still the course further presents fast track model evaluation by picking pretrained models from Vitis™ AI Model Zoo. It closes with deploying thesein the Zynq™ Ultrascale+™ MPSoC family's Target Reference Designs (TRD).

Due to accompanying exercises, the course offers in-depth and practice-oriented training.

Course language: German (English possible on request)

Portrait von Michael Schwarz

Contact

Michael Schwarz

+49 7664 91313-15

michael.schwarz@plc2.de

Details

Applicable technologies

AMD adaptive SoCs, FPGAs,
AMD Alveo™ Cards

Requirements

Basic knowledge in Python
Some experience with AMD Vivado™ and Vitis™ tools

Duration

3 days

Fee (net per person)

€ 2,300

Inclusive

Training material
Plus beverages during breaks
Lunch

Agenda

01

Introduction

02

AI, machine learning, Deep Neural Networks (DNN)

03

Training vs. inference in supervised learning

04

Implementation basics

05

Adaptive SoC architecture overview

06

Principles of adaptive SoC design in Vivado™

07

General overview into Vitis™-based accelerated designs

08

Overview of HLS design methodology

09

HLS-based acceleration kernels

10

Host application

11

Vitis™ Libraries

12

The Deep Learning Processing Unit (DPU)

13

Vitis™ AI toolchain

14

Review of a supporting application

Dates

NEW | Compact Edge AI Application Design Flow

WO

Freiburg

May 26, 2025

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NEW | Compact Edge AI Application Design Flow

WO

Munich

Sep 15, 2025

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NEW | Compact Edge AI Application Design Flow

WO

Stuttgart

Nov 19, 2025

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Fee

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€ 2,300

Course

Compact Edge AI Application Design Flow_WO

Total fee

€ 2,300

*Required field

Unternehmen

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Anfrage / Angebot

Rechnungsanschrift

Ansprechpartner:in

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Kosten

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€ 2,300

Kurs

Compact Edge AI Application Design Flow_WO

Gesamtbetrag

€ 2,300

*Pflichtfeld

How can we help?

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FAQ

01. Can you help me with reserving the room?

If you need a room for a face-to-face course, please contact us. We will support you in choosing suitable accommodation.

02. What times in the day do courses start and end?

Our face-to-face and online courses start daily at 9 a.m. (CET/CEST) and end at 5 p.m., with two coffee breaks and an extended lunch break. The total course time per day is 6 hours.

03. Are course materials provided?

All participants of paid courses will receive English training materials in electronic or paper form.

04. Will I receive a course certificate?

Each participant of a paid PLC2 course will receive a signed certificate of attendance at the end of the course.

05. Can I pay with Training Credits (TCs)?

Of course, you can also pay for your training using your available TCs (Training Credits). We will then invoice AMD directly. If you do not have sufficient credit for the booked training, the difference can be paid for with an additional payment. The additional charge will be invoiced directly to you.

06. What are the options for payment?

You can pay us via bank transfer or with TCs (Training Credits). Unfortunately, payment via debit, credit card, or PayPal is not possible.

07. What is the deadline for payment?

Payment is due 14 days after the invoice date, without deduction. Please transfer the amount within that time.

08. What are the options for cancelling?

You can cancel free of charge up to 14 days before the course starts. If you have to cancel at short notice due to illness or other reasons, you have the option of adding a substitute participant or of making up the course at a later date (within 6 months).

09. When will I receive a firm commitment as to whether the course will take place?

You will receive binding confirmation 7 days before the course begins as to whether it will go ahead.

10. How many participants are required for a course to be given/what is the minimum number of participants?

We generally offer courses for 5 or more people. That means that if you would like to book a course at your premises, you need 5 people to register or need to pay the amount for 5 participants, even if fewer people attend.

11. Can I book a course that is given in English?

If you need a course that is officially advertised as given in German to be given in English, please contact us. We will try to make that possible for you.

12. What language is the course in?

Our webinars and online courses are conducted in English. All our F2F training courses are generally conducted in German. Feel free to contact us if you need face-to-face training in English or online training in German.