Compact Vitis AI
This course presents the Vitis™ AI development toolkit for AI inference on AMD hardware platforms in conjunction with DNN algorithms, the trained model from associated frameworks. The target deployment focuses on Alveo™ Cards, Zynq™ SoCs, Zynq™ UltraScale+™ MPSoCs and Versal™ adaptive SoCs. The target designs need to incorporate a Deep Learning Processor Unit (DPU) IP as presented in the course to support the Vitis™ AI tools.
The basics of Machine Learning (ML) and challenges in neural network training are revisited to relate to the concepts and scope of Vitis™ AI. As it supports mainstream frameworks like TensorFlow and PyTorch, a wide variety of models for diverse machine learning tasks are available and a comprehensive pre optimized model library is at hand offering models that can readily be deployed on AMD devices.
The concepts of the Vitis™ AI development kit are shown with the framework-specific tools to prune and optimize the trained models, to reduce the computation load, and then quantize the model according to the target DPU spec for efficient mapping. The AI compiler generates deployable code for the microarchitecture of the DPU.
It will be demonstrated how the Vitis™ AI tools can be used to analyze the model performance and debugging. To complete the full deployment, the final chapters present Vitis™ AI libraries and APIs and show how to integrate the pre- and postprocessing with DPU for optimized inference.
Due to accompanying exercises, the course offers in-depth and practice-oriented training.
Course language: German (English possible on request)
Contact
Michael Schwarz
+49 7664 91313-15
Details
Applicable technologies
AMD adaptive SoCs,AMD Alveo™ Cards
Requirements
Basic knowledge of machine learning conceptsComfort with the C/C++/Python programming language, software development flow
Duration
3 daysFee (net per person)
€ 2,300Inclusive
Training materialPlus beverages during breaks
Lunch
Agenda
01
Vitis™ AI development environment
02
Frameworks supported by the Vitis™ AI development environment
03
Setting up the Vitis™ AI development environment
04
Overview of ML concepts
05
AI optimizer
06
AI quantizer and AI compiler
07
AI profiler
08
Introduction to the Deep Learning Processor Unit (DPU)
09
DPU target architectures
10
Vitis™ AI library
11
Creating a hardware platform with the DPU
12
Generating a DPU kernel in Vitis™
13
Create a Vitis™ embedded acceleration platform
14
Creating a custom application
15
Kria™ KV260 Vision AI Starter Kit
16
Customizing the AI models
Dates
Compact Vitis AI
WO
Freiburg
Jun 11, 2025
Compact Vitis AI
WO
Stuttgart
Sep 01, 2025
Compact Vitis AI
WO
Berlin
Nov 10, 2025
Available formats for this training
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Freiburg |
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Contact
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.