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Compact Vitis AI

Online Live


Workshop

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. Attendees of the online live training will perform the practical exercises in real time with instructor assistance.

Course language: English

Portrait von Michael Schwarz

Contact

Michael Schwarz

+49 7664 91313-15

michael.schwarz@plc2.de

Details

Applicable technologies

AMD adaptive SoCs,
AMD Alveo™ Cards,

Requirements

Basic knowledge of machine learning concepts
Comfort with the C/C++/Python programming language, software development flow

Duration

3 days

Fee (net per person)

€ 1,900

Inclusive

Training material

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

OL

Online

Nov 04, 2024

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€ 1,900

Course

Compact Vitis AI_OL

Total fee

€ 1,900

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€ 1,900

Kurs

Compact Vitis AI_OL

Gesamtbetrag

€ 1,900

*Pflichtfeld

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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 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. For online courses, the start is also at 9 a.m. (CET/CEST), but they end at 2:30 p.m.. The total course time per day is 4 and a half hours plus breaks.

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.