Embedded Linux Kernel and Driver Development - Plan Szkolenia

Electronics is a discipline that applies the physics of electricity and computer programming to create interconnection technologies. Among its most extensive implementations are circuits and circuit boards which are foundational to all electronic devices. The practice of electronics engineering utilizes the concept of electron manipulation to produce innovations in technological industries, such as computing hardware, telecommunications, and many others.

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.

Digital Signal Processing (DSP) is an engineering practice that integrates mathematical concepts and electronics to manipulate electrical signal information. Using analysis results acquired from DSP, professionals can derive digital data that are employable for the optimization of modern technologies. DSP is an important operation in today's enterprise applications that outperforms analog signal processing in terms of high accuracy and data consistency.

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.

Vivado is a software platform for analyzing HDL systems and developing high-level synthesis systems. Vivado provides users the ability to build embedded systems for various use-cases, such as the medical industry, automotive industry, and more.

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.

FreeRTOS is a cross platform real-time operating system (RTOS) kernel for embedded devices such as microcontrollers and small microprocessors.

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).

The course is an introduction to RTOS-based software design for embedded systems/IoT. Attendees are introduced to RTOS concepts, synchronization mechanisms and scenarios of software design using RTOS. The exercises are done with STM32 Nucleo 144 or similar development boards.

This instructor-led, live training (online or onsite) is aimed at engineers who wish to learn how to use embedded C to program various types of microcontrollers based on different processor architectures (8051, ARM CORTEX M-3, and ARM9).

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.

A two day course covering all design principles with code examples coupled with recent industrial technology; very useful for automotive software developers

This instructor-led, live training (online or onsite) is aimed at C developers wishing to learn embedded C design principles.

By the end of this training, participants will be able to:

• Understand the design considerations that make embedded C programs reliable
• Define the functionality of an embedded system
• Define the program logic and structure to obtain the desired result
• Design a reliable, error-free embedded application
• Obtain optimal performance from target hardware

Format of the Course:

• Interactive lecture and discussion
• 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.

Arduino is an open-source, single-board, microcontroller for building devices that can sense and control objects in the physical world.

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/products/arduino-starter-kit-multi-language
• To request a different setup, please contact us to arrange.

The course covers the aspects of modern C language dialects (C99, C11, C2x) related to embedded programming and guidelines for efficient and error-immune programming techniques. The examples/exercises are implemented on STM32 family microcontrollers.

This instructor-led, live training (online or onsite) is aimed at engineers who wish to learn the design principles of microcontroller design.

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.

Raspberry Pi is a very small, single-board computer.

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.

TensorFlow Lite for Microcontrollers is a port of TensorFlow Lite designed to run machine learning models on microcontrollers and other devices with limited memory.

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.

The course presents common serial interfaces used in embedded systems and useful practical details of their implementation. The presentation is accompanied by hands-on exercises using STM32 microcontrollers.