DSP & Image Processing

PLC2 is an ATP in Cyprus, Czech Republic, Germany, Greece, Hungary, Poland, Slovakia, Slovenia, Switzerland, and Turkey.

AMD Authorized Training Providers (ATPs) are expert instructors specializing in all aspects of FPGA and embedded design from software to systems and beyond. Courses offered leverage training materials specifically developed by AMD engineers and enhanced further via the specialized knowledge and expertise of AMD ATP instructors.

Yes. On request, we create customized training courses that are precisely tailored to your company’s tools, processes, and methods. See also our In-House training format.

Depending on the course format, hands-on exercises are included in most of the training sessions, especially in workshops, power workshops, and online live courses.

Go to the page of your desired training course and click the button »Book workshop«. You will jump directly to the booking form. Fill out the form and click submit. You will receive a confirmation e-mail immediately.

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

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.

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

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

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.

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

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

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).

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

We generally offer courses for 5 or more people. This means that if you would like to book a course at your location, either five people must register or you must pay for five participants, even if fewer people attend.

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.

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.

All PLC2 trainings are available in multiple formats (e.g. F2F, online or in-house) to fit different learning preferences and project constraints.

Not strictly for foundational modules, but familiarity with embedded / FPGA architectures significantly enhances learning outcomes. Advanced trainings assume experience with toolchains.

Depending on the course, tools may include:

• MATLAB/Simulink or equivalent algorithm modelling environments.
• FPGA/SoC toolchains (Vivado, Vitis, Vitis HLS).
• Embedded development toolchains.
• Libraries for optimized DSP and image processing.

The focus is on workflows that bridge algorithm design and efficient hardware / embedded implementation.

Yes. Trainings include practical examples and labs showing how to map DSP and image processing algorithms to hardware using high-level languages, HDL, and optimized libraries, addressing performance, resource utilization, and real-time constraints.

A solid understanding of digital logic, linear systems, signals & systems, and basic programming (e.g., C/C++ or HDL) is recommended. Some courses target intermediate to advanced practitioners, while introductory modules cover essential theory and workflows.

These courses are ideal for signal and image processing engineers, embedded system developers, FPGA / SoC designers working with real-time data streams, machine vision engineers, and anyone who wants to apply DSP techniques efficiently on hardware or high-performance embedded platforms.

The DSP & Image Processing category focuses on digital signal processing fundamentals and practical techniques for real-time systems, including filter design, FFTs, convolution / correlation, spectral analysis, adaptive algorithms, and image processing pipelines such as feature extraction, segmentation, and performance optimization, with emphasis on implementation on FPGA, SoC, and embedded platforms.