Embedded Systems Training

Duration: 8 hours

Alpinum’s Embedded Systems Training helps engineers build practical capability in microcontroller programming, hardware interfacing, real-time operating systems and embedded software development. The course is designed for embedded engineers, software engineers moving closer to hardware, graduate engineers and teams developing connected or resource-constrained systems.

The course combines low-level hardware interaction with structured embedded software design.

Who Should Attend?

This course is suitable for:

• • Embedded software engineers

• • C/C++ or Rust developers working with hardware platforms

• • Graduate engineers entering embedded systems roles

• • Teams developing sensor, control, IoT or automotive systems

What the Course Covers

Participants learn how embedded systems are structured and how software interacts with hardware peripherals and real-time operating systems.

Key topics include:

• • ARM architecture

• • UART, SPI and I²C communication

• • CAN bus concepts

• • FreeRTOS task management

• • Device driver development

• • Embedded Rust and C++s

Practical Labs

The course includes labs on MCU architecture and peripheral interfacing, RTOS and driver development. Participants configure hardware peripherals, implement communication drivers, analyse timing behaviour and work with task scheduling and synchronisation concepts.

Lab 1: MCU Architecture and Peripheral Interfacing

Learning Objectives: Master hardware-level programming, peripheral configuration, and signal communication.

Tasks:

• • Configure microcontroller (MCU) system clocks and GPIO pins for the ARM architecture.

• • Implement communication drivers for UART, SPI, and I²C to interface with external sensors.

• • Analyze signal timing and data exchange protocols using a logic analyzer or simulation tool.

Extension Tasks:

• • Implement DMA (Direct Memory Access) for efficient data transfers in SPI/UART.

• • Develop a low-power sleep mode strategy triggered by sensor interrupts.

Lab 2: Real-Time Operating Systems (RTOS) and Drivers

Learning Objectives: Utilize FreeRTOS for task management, synchronization, and robust driver development.

Tasks:

• • Port the FreeRTOS kernel to the target ARM-based hardware.

• • Create preemptive tasks for sensor data acquisition, processing, and system monitoring.

• • Develop thread-safe device drivers using mutexes and semaphores to prevent resource contention.

Extension Tasks:

• • Implement a priority inheritance mechanism to prevent priority inversion in task scheduling.

• • Integrate a software timer to perform periodic hardware state checks.

Project:

The course can include a Sensor Acquisition System project, where participants read data from sensors via I²C and SPI, process the data using RTOS tasks and transmit telemetry through CAN or UART.

Learning Objectives: Integrate hardware communication, RTOS task management, and data handling into a production-ready system.

Description: Build a sophisticated “Sensor Acquisition System” that concurrently reads data from multiple sensors using different protocols and transmits processed results to a host.

Tasks:

• • Acquisition: Read data from sensors via I²C and SPI interfaces.

• • Processing: Utilize FreeRTOS tasks to process sensor data streams in real-time.

• • Transmission: Communicate processed telemetry over CAN bus or UART to a host interface.

Coverage Matrix

Assessment

• • Hands-on Exercises: Directed development blocks focused on track-specific implementation challenges.

• • Quizzes: Milestone-based knowledge checks to ensure students remain aligned with architectural best practices throughout the project lifecycle.

Learning Outcomes

By the end of the course, participants will understand embedded system architecture, peripheral communication, RTOS principles, device driver design and practical sensor integration.