Embedded System Programme 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.

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.

In this instructor-led live training in Uzbekistan, participants will learn how to code using FreeRTOS by stepping through the development of a simple RTOS project on a microcontroller.

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

• Grasp the fundamental concepts of real-time operating systems.
• Familiarize themselves with the FreeRTOS environment.
• Acquire skills in coding with FreeRTOS.
• Interface FreeRTOS applications with hardware peripherals.

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.

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.

This instructor-led, live training in Uzbekistan (online or onsite) is tailored for engineers who wish to develop, load, and operate machine learning models on compact embedded devices.

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

• Install TensorFlow Lite.
• Deploy machine learning models onto embedded devices to enable functionalities such as speech detection, image classification, and more.
• Integrate AI into hardware devices independently of network connectivity.

This course introduces the common serial interfaces utilized in embedded systems, along with practical implementation details. The theoretical lessons are reinforced by hands-on exercises using STM32 microcontrollers.

The course introduces the fundamental aspects of USB device programming and demonstrates the practical application of STM32CubeIDE for designing USB device firmware.