
Local instructor-led live Embedded Systems training courses in България.
Oтзиви от потребители
Много широко въведение в Yocto, с голям брой практически примери. Съдържанието, в допълнение към задължителната програма, обогатена с проблеми, посветени на нашия проект. За голям плюс знания и практически опит на презентиращите. Програмата на курса е завършила колкото е възможно повече времето, което му е разпределено.
Przemysław Ujma - Hectronic Polska Sp. z o.o.
Course: Yocto Project
Machine Translated
Много високо практическо познаване на Треньора, добро ниво на трансфер на знания от Него.
Sopem Sp. z o.o.
Course: C++ for Embedded Systems
Machine Translated
Съкратено знание, съобщено по ясен начин.
Sopem Sp. z o.o.
Course: C++ for Embedded Systems
Machine Translated
Embedded Systems Subcategories
Embedded Systems Course Outlines
In this instructor-led, live training, participants will learn how to program the Arduino using advanced techniques as they step through the creation of a simple sensor alert system.
By the end of this training, participants will be able to:
- Understand how Arduino works.
- Dig deep into the main components and functionalities of Arduino.
- Program the Arduino without using the Arduino IDE.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- Arduino is available in different models and supports different programming interfaces (C, C++, C#, Python) and IDEs (Arduino IDE, Visual Studio, etc.). The following will be used for this course:
- Arduino Uno board
- Arduino IDE
- Arduino language (based on C/C++)
- *** Participants are responsible for purchasing their own Arduino hardware and components! ***
- Hardware kits can be purchased from suppliers, such as: Arduino Starter Kit https://store.arduino.cc/genuino-starter-kit
- To request a different setup, please contact us to arrange.
In this instructor-led, live training, participants will learn how to use the Eagle software to create PCB circuit boards. The course starts by examining a set of existing schematics, then drawing out an original circuit in Eagle. The training steps through process for designing the circuit board and discusses the process for manufacturing the boards (the course does not include the physical manufacturing of the boards).
By the end of this training, participants will be able to:
- Create a Printed Circuit Board (PCB) from any schematic
- Create schematics and design circuit boards using Eagle
- Export the industry-standard files for constructing the circuit board
Audience
- Engineers
- Technicians
Format of the Course
- Part lecture, part discussion, exercises and heavy hands-on practice
Notes
- To request a customized training for this course, please contact us to arrange.
This instructor-led, live training (online or onsite) is aimed at FPGA developers who wish to use Vivado to design, debug, and implement hardware solutions.
By the end of this training, participants will be able to:
- Develop HDL systems with C code and Vivado tools.
- Generate and implement soft processors in Vivado.
- Test and simulate C code using Vivado.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training, participants will learn how to set up a LEDE based wireless router.
Audience
- Network administrators and technicians
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training participants will learn how to apply MBD methodologies to reduce development costs and accelerate the time to market of their embedded software products.
By the end of this training, participants will be able to
- Select and utilize the right tools for implementing MBD.
- Use MBD to carry out rapid development in the early stages of their embedded software project.
- Shorten the release of their embedded software into the market.
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to implement NetApp ONTAP in a clustered environment.
By the end of this training, participants will be able to:
- Set up and administer ONTAP 9.3 Cluster.
- Safeguard data through Data Protection technologies.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- This course is based on ONTAP 9.3.
- To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training, participants will learn how to use the Altium software to create PCB circuit boards. The course starts by examining a set of existing schematics, then drawing out an original circuit in Altium. The training steps through process for designing and manufacturing the circuit board.
By the end of this training, participants will be able to:
- Create a Printed Circuit Board (PCB) from any schematic
- Create schematics and design circuit boards using Altium
- Print and etch a physical circuit board
- Export the industry-standard files for sending to a large-scale manufacturer
Audience
- Engineers
- Technicians
Format of the Course
- Part lecture, part discussion, exercises and heavy hands-on practice
Notes
- To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training, participants will learn how to code using FreeRTOS as they step through the development of a simple RTOS project using a microcontroller.
By the end of this training, participants will be able to:
- Understand the basic concepts of real-time operating systems.
- Learn the environment of FreeRTOS.
- Learn how to code with FreeRTOS.
- Interface a FreeRTOS application to hardware peripherals.
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- Participants are expected to provide their own hardware for this course (any STM32 board).
In this instructor-led, live training, participants will learn how to set up and program the Raspberry Pi to serve as an interactive and powerful embedded system.
By the end of this training, participants will be able to:
- Set up an IDE (integrated development environment) for maximum development productivity
- Program Raspberry Pi to control devices such as motion sensor, alarms, web servers and printers.
- Understand Raspberry Pi's architecture, including inputs and connectors for add-on devices.
- Understand the various options in programming languages and operating systems
- Test, debug, and deploy the Raspberry Pi to solve real world problems
Audience
- Developers
- Hardware/software technicians
- Technical persons in all industries
- Hobbyists
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- Raspberry Pi supports various operating systems and programming languages. This course will use Linux-based Raspbian as the operating system and Python as the programming language. To request a specific setup, please contact us to arrange.
- Participants are responsible for purchasing the Raspberry Pi hardware and components.
In this instructor-led, live training, participants will learn how to secure an internet connection through a Shadowsocks proxy.
By the end of this training, participants will be able to:
- Install and configure Shadowsocks on any of a number of supported platforms, including Windows, Linux, Mac, Android, iOS, and OpenWrt.
- Deploy Shadosocks with package manager systems, such as pip, aur, freshports and others.
- Run Shadowsocks on mobile devices and wireless networks.
- Understand how Shadowsocks encrypts messages and ensures integrity and authenticity.
- Optimize a Shadowsocks server
Audience
- Network engineers
- System Administrators
- Computer technicians
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
This instructor-led, live training (online or onsite) is aimed at developers who wish to use TensorFlow Lite to deploy deep learning models on embedded devices.
By the end of this training, participants will be able to:
- Install and configure Tensorflow Lite on an embedded device.
- Understand the concepts and components underlying TensorFlow Lite.
- Convert existing machine learning models to TensorFlow Lite format for execution on embedded devices.
- Work within the limitations of small devices and TensorFlow Lite, while learning how to expand their default capabilities.
- Deploy deep learning models on embedded devices running Linux to solve physical world problems such as recognizing images and voice, predicting patterns, and initiating movements and responses from robots and other embedded systems in the field.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to write, load and run machine learning models on very small embedded devices.
By the end of this training, participants will be able to:
- Install TensorFlow Lite.
- Load machine learning models onto an embedded device to enable it to detect speech, classify images, etc.
- Add AI to hardware devices without relying on network connectivity.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training, participants will learn how to create a build system for embedded Linux based on Yocto Project.
By the end of this training, participants will be able to:
- Understand the fundamental concepts behind a Yocto Project build system, including recipes, metadata, and layers.
- Build a Linux image and run it under emulation.
- Save time and energy building embedded Linux systems.
Format of the course
- Part lecture, part discussion, exercises and practice
Other Options:
- [Buildroot](/cc/buildroot) is a simpler alternative to the Yocto project
- To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training, participants will learn the fundamentals of IoT as they step through the creation of an Arduino-based IoT sensor system.
By the end of this training, participants will be able to:
- Understand the principles of IoT, including IoT components and communication methods.
- Use Arduino communication modules to build different types of IoT systems.
- Use a mobile app to control Arduino.
- Connect an Arduino to other devices through Wi-Fi.
- Build and deploy an IoT Sensor System.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
-
Arduino is available in different models and supports different programming interfaces (C, C++, C#, Python) and IDEs (Arduino IDE, Visual Studio, etc.). To request a different setup, please contact us to arrange.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to design high-performance embedded systems using FPGA.
By the end of this training, participants will be able to:
- Install and configure the FPGA software tools needed to design and simulate an embedded system.
- Select the best FPGA architecture for an application.
- Develop and enhance various FPGA designs.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Should object-oriented-programming be used in microcontrollers?
Is C++ too far removed from the hardware to be efficient?
This instructor-led, live training addresses these questions and demonstrates through discussion and practice how C++ can be used to develop embedded systems with code that is accurate, readable, and efficient. Participants put theory into practice through the creation of a sample embedded application in C++.
By the end of this training, participants will be able to:
- Understand the principles of object-oriented modelling, embedded software programming and real-time programming
- Produce code for embedded systems that is small, fast and safe
- Avoid code bloat from templates, exceptions, and other language features
- Understand the issues related to using C++ in safety-critical and real-time systems
- Debug a C++ program on a target device
Audience
- Developers
- Designers
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training, participants will learn how to program the Arduino for real-world usage, such as to control lights, motors and motion detection sensors. This course assumes the use of real hardware components in a live lab environment (not software-simulated hardware).
By the end of this training, participants will be able to:
- Program Arduino to control lights, motors, and other devices.
- Understand Arduino's architecture, including inputs and connectors for add-on devices.
- Add third-party components such as LCDs, accelerometers, gyroscopes, and GPS trackers to extend Arduino's functionality.
- Understand the various options in programming languages, from C to drag-and-drop languages.
- Test, debug, and deploy the Arduino to solve real world problems.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- Arduino is available in different models and supports different programming interfaces (C, C++, C#, Python) and IDEs (Arduino IDE, Visual Studio, etc.). The following will be used for this course:
- Arduino Uno board
- Arduino IDE
- Arduino language (based on C/C++)
- *** Participants are responsible for purchasing their own Arduino hardware and components! ***
- Hardware kits can be purchased from suppliers, such as: Arduino Starter Kit https://store.arduino.cc/genuino-starter-kit
- To request a different setup, please contact us to arrange.
This course will introduce the architecture and capabilities of Berkeley DB and walk participants through the development of their own sample application using Berkeley DB.
Audience
- Application developers
- Software engineers
- Technical consultants
Format of the course
- Part lecture, part discussion, hands-on development and implementation, tests to gauge understanding
By the end of this training, participants will be able to:
- Build and operate a robotic system that includes both software and hardware components
- Understand the key concepts used in robotic technologies
- Assemble motors, sensors and microcontrollers into a working robot
- Design the mechanical structure of a robot
Audience
- Developers
- Engineers
- Hobbyists
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- Hardware kits will be specified by the instructor before the training, but will roughly contain the following components:
- Arduino board
- Motor controller
- Distance sensor
- Bluetooth slave
- Prototyping board and cables
- USB cable
- Vehicle kit
- Participants will need to purchase their own hardware.
- If you wish to customize this training, please contact us to arrange.
- How to select software that goes into the root filesystem.
- How to add new packages and modify existing ones.
- How to add support for new embedded boards.
During the course, bootable filesystem images will be produced. Remote courses are delivered using the [QEMU](/cc/qemukvm) emulator, while in the classroom it is possible to use either QEMU or real embedded boards of the trainer's choice.
Other projects with similar goals include the [Yocto project](/cc/yoctoproject) and OpenWRT. Please use [these](https://bootlin.com/pub/conferences/2016/elc/belloni-petazzoni-buildroot-oe/belloni-petazzoni-buildroot-oe.pdf) [presentations](https://elinux.org/images/0/0a/Embedded_Linux_Build_Systems.pdf) to determine which one is the right choice for your needs.
This instructor-led, live training (online or onsite) is aimed at engineers and computer scientists who wish to apply the fundamentals of circuits and electronics to design devices and systems that utilize properties of electrical components for the development of hardware functionalities.
By the end of this training, participants will be able to:
- Set-up and configure the necessary tools and programs for circuits and circuit board development.
- Understand the basic principles behind circuits and electronics engineering.
- Utilize the primary electronic components in constructing efficient computer hardware technologies.
- Optimize electronic devices by implementing circuit analysis methods.
- Apply the fundamentals of electronics and circuits to the development of enterprise applications.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
This instructor-led, live training (online or onsite) is aimed at engineers and scientists who wish to learn and apply DSP implementations to efficiently handle different signal types and gain better control over multi-channel electronic systems.
By the end of this training, participants will be able to:
- Setup and configure the necessary software platform and tools for Digital Signal Processing.
- Understand the concepts and principles that are foundational to DSP and its applications.
- Familiarize themselves with DSP components and employ them in electronics systems.
- Generate algorithms and operational functions using the results from DSP.
- Utilize the basic features of DSP software platforms and design signal filters.
- Synthesize DSP simulations and implement various types of filters for DSP.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.