Introduction to Embedded Computers Training Course

This instructor-led, live training in Uzbekistan (online or onsite) is designed for engineers who want to learn how to use embedded C to program various microcontrollers based on different processor architectures (8051, ARM CORTEX M-3, and ARM9).

In this instructor-led, live training in Uzbekistan, participants will learn how to program Arduino for real-world applications, such as controlling lights, motors, and motion detection sensors. This course focuses on using 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 manage lights, motors, and other devices.
• Understand Arduino's architecture, including its inputs and connectors for add-on devices.
• Integrate third-party components like LCDs, accelerometers, gyroscopes, and GPS trackers to enhance Arduino's capabilities.
• Explore various programming language options, from C to drag-and-drop languages.
• Test, debug, and deploy Arduino to address real-world challenges.

Buildroot is an open-source project that provides scripts to generate a cross-compilation toolchain, a customizable root filesystem image, and a Linux kernel for embedded devices. During this practical course, participants will learn how to use it:

• How to select software for inclusion in the root filesystem.
• How to add new packages and modify existing ones.
• How to add support for new embedded boards.

Throughout the course, bootable filesystem images will be generated. Remote sessions utilise the QEMU emulator, while classroom sessions allow the use of either QEMU or actual embedded boards, selected at the trainer's discretion.

Other projects with similar objectives include the Yocto project and OpenWRT. Please refer to these presentations to determine which solution best suits your requirements.

This instructor-led, live training in Uzbekistan (online or onsite) is designed for engineers and computer scientists who wish to apply the fundamentals of circuits and electronics to design devices and systems that utilize the properties of electrical components to develop 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 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.

This instructor-led, live training in Uzbekistan (online or onsite) is designed for engineers and scientists who want to learn and apply DSP implementations to efficiently handle various signal types and gain better control over multi-channel electronic systems.

Upon completing this training, participants will be able to:

• Set up and configure the necessary software platforms and tools for Digital Signal Processing.
• Grasp the foundational concepts and principles of DSP and its applications.
• Become familiar with DSP components and utilize them in electronic systems.
• Create algorithms and operational functions using DSP results.
• Utilize basic features of DSP software platforms and design signal filters.
• Synthesize DSP simulations and implement various types of filters.

This instructor-led, live training in Uzbekistan (available online or on-site) is designed for intermediate-level automotive engineers and technicians who wish to gain practical experience in testing, simulating, and diagnosing ECUs using Vector tools like CANoe and CANape.

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

• Understand the role and functionality of ECUs within automotive systems.
• Set up and configure Vector tools such as CANoe and CANape.
• Simulate and test ECU communication over CAN and LIN networks.
• Analyze data and perform diagnostics on ECUs.
• Create test cases and automate testing workflows.
• Calibrate and optimize ECUs using practical, hands-on approaches.

This instructor-led, live training in Uzbekistan (online or onsite) is designed for intermediate-level automotive engineers and embedded systems developers who wish to grasp the theoretical aspects of ECUs, with a focus on Vector-based tools and methodologies employed in automotive design and development.

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

• Comprehend the architecture and functions of ECUs in modern vehicles.
• Analyze communication protocols utilized in ECU development.
• Explore Vector-based tools and their theoretical applications.
• Apply model-based development principles to ECU design.

This course explores the elements of contemporary C language standards (C99, C11, and C2x) that are relevant to embedded systems, along with best practices for writing efficient and robust code. All examples and exercises are conducted using microcontrollers from the STM32 family.

This instructor-led, live training in Uzbekistan (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.

The LEDE Project (Linux Embedded Development Environment) is a Linux operating system derived from OpenWrt. It serves as a comprehensive alternative to the manufacturer-provided firmware for various wireless routers and non-network devices.

In this instructor-led, live training, participants will learn how to configure a wireless router running LEDE.

Target Audience

• Network administrators and technicians

Course Format

• A mix of lectures, discussions, exercises, and extensive hands-on practice

This instructor-led, live training session in Uzbekistan (online or onsite) is designed for intermediate-level embedded systems engineers and AI developers who aim to deploy machine learning models on microcontrollers utilizing TensorFlow Lite and Edge Impulse.

Upon completing this training, participants will be capable of:

• Grasping the core principles of TinyML and its advantages for edge AI solutions.
• Configuring a development environment suitable for TinyML initiatives.
• Training, optimizing, and deploying AI models on power-efficient microcontrollers.
• Leveraging TensorFlow Lite and Edge Impulse to create practical TinyML applications.
• Enhancing AI models for improved power efficiency and adherence to memory limitations.

This instructor-led, live training in Uzbekistan (online or onsite) is tailored for engineers aiming to learn the principles of microcontroller design.

The Raspberry Pi is an extremely compact, single-board computer.

In this instructor-led, live training session, attendees will learn how to configure and program the Raspberry Pi to function as an interactive and potent embedded system.

Upon completion of this training, participants will be capable of:

• Configuring an IDE (integrated development environment) to optimize development productivity.
• Programming the Raspberry Pi to manage devices such as motion sensors, alarms, web servers, and printers.
• Gaining a comprehensive understanding of the Raspberry Pi's architecture, including input and connector options for add-on devices.
• Evaluating various programming language and operating system choices available for the platform.
• Testing, debugging, and deploying the Raspberry Pi to address real-world challenges.

Audience

• Developers
• Hardware/software technicians
• Technical professionals across all industries
• Hobbyists

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice.

Important Note

• The Raspberry Pi is compatible with various operating systems and programming languages. This course utilizes Linux-based Raspbian as the operating system and Python as the programming language. For alternative setups, please contact us to arrange.
• Participants are responsible for purchasing their own Raspberry Pi hardware and components.

In this instructor-led, live training in Uzbekistan, participants will learn how to create a build system for embedded Linux based on the 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.

Description

This four-day training program blends theoretical instruction with practical exercises to introduce participants to the Yocto Project.
It addresses common questions such as:

• Is it truly necessary to utilize a distinct toolchain, library, or package version for every GNU/Linux project, along with a different workflow?
• Can you guarantee that the development environment remains consistent across all developers and suppliers, enabling the production of identical builds over the next decade or more?
• Can the YP assist in identifying the software licenses governing the packages you utilize?

Practical sessions are conducted on target hardware (for example, Beagle Bone Black Rev. C - http://beagleboard.org/BLACK). Upon completion, you will be provided with a Docker image containing Ubuntu 14.x and all necessary dependencies, along with examples, allowing you to engage with the course material in your own laboratory settings. Please be aware that this course does not serve as an introduction to Embedded GNU/Linux. You are expected to already understand how Embedded GNU/Linux operates, including the configuration and building of the GNU/Linux kernel and its drivers.

Who should attend?

This workshop is designed for individuals who already use GNU/Linux in their projects and have likely heard of the Yocto Project but have hesitated to explore it in depth or found it challenging to use. It is ideal for those unsure about how their daily workflow can be integrated into the YP or who find the YP overly complex, wondering why the additional effort is necessary when previous methods were (supposedly) simpler. After the training, you will be equipped to determine whether the YP meets your needs. The workshop targets software engineers, development engineers, system engineers, testers, administrators, and other professionals with a solid understanding of Embedded GNU/Linux.