Professional Python for Embedded
Within the embedded computing sphere, the programming language C has long been considered the standard. However, more complex applications and faster time-to-market requirements call for alternatives.
Traditionally used for web and desktop applications, Python offers such an alternative, thanks to its support for C/C++ libraries and the provision of frameworks for processing complex algorithms. These frameworks enable the development of algorithms across data analytics, Machine Learning (ML) and other artificial intelligence-driven fields. Of course, these applications are hot topics within embedded computing and are driving the adoption of Python, especially within the Industrial Internet of Things (IIoT) at the edge. AMD offers multiple approaches to deploy Python on embedded platforms, ranging from open source frameworks (PYNQ) that allows Python to interact with the Zynq™ portfolio, to Python bindings for hardware accelerator design through the Xilinx Runtime (XRT).
In this course, you will learn the basics of programming with Python, which guides to develop the code for control of embedded systems and respective hardware accelerators. Beyond these insights, Python-based tools for verification and system level support are introduced to aid the design phase beyond HDL code. From there, hardware control of PYNQ boards is demonstrated by deploying hybrid libraries in a common Linux images, whereas Vitis™-based design flows exert full control of bitstream generation and the associated hardware-related C code. These flows offer an Application Programming Interface (API) with Python bindings based on the Xilinx runtime (XRT). Such designs can be used to accelerate applications that would benefit from parallelization in the FPGA fabric and are supported by ready-to-use elements out of the Vitis™ libraries.
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
Generic, AMD adaptive SoCsRequirements
Basic knowledge on OOPDuration
5 daysFee (net per person)
€ 3,250Inclusive
Training materialPlus beverages during breaks
Lunch
Agenda
01
Introduction
Python installers
Environment setup
Managing packages with pip
02
Development with Python
Variables
Datatypes, I/O, and import
Operators and namespace
03
Flow control
Statements
Loops
04
Functions
Function and function argument
Recursion
Modules and packages
05
Objects and classes
OOP
Inheritance
06
Project management
Virtual environments, pyenv and venv
Anaconda
IDE variants: from IDLE to VS Code
07
Complex applications: ML frameworks
Brief Overview of Tensorflow and PyTorch
An ML Model Example
08
Modules for FPGA and Logic Design
cocotb
Register description automation
09
Modules for embedded
CTypes
Micropython
10
Modules for AMD targets
Introduction to Pynq
Xilinx Runtime (XRT) Bindings
11
Exemplaric applications
Control flow of acceleration kernels
Kernels in DSP applications
Kernels in image processing
Overview of ML inference hardware acceleration
Dates
Professional Python for Embedded
PW
Berlin
Nov 25, 2024
Professional Python for Embedded
PW
Stuttgart
Mar 24, 2025
Professional Python for Embedded
PW
Freiburg
Jun 02, 2025
Professional Python for Embedded
PW
Frankfurt / Main
Sep 22, 2025
Professional Python for Embedded
PW
Berlin
Nov 24, 2025
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How can we help?
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 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.