About this Course
In this second course, you’ll deepen your understanding of embedded software design, development and debugging for real-time operating systems (RTOS). You'll explore multithreading, task scheduling and synchronization mechanisms, and gain hands-on experience in porting RTOS to embedded platforms. You'll learn about device firmware layers, memory management and hardware abstraction while applying these concepts to real-time applications in IoT and machine learning (ML). You’ll also learn to optimize embedded systems for performance, security and power efficiency in resource-constrained environments.
What You’ll Learn
- Fundamentals of real-time systems, including task prioritization, scheduling and tuning time-sensitive software
- How to design applications using an RTOS, including implementing inter-task communication, synchronization primitives (mutexes, semaphores, message queues), and system resource management
- Best practices for firmware architecture, including how to develop modular and reusable firmware using APIs, board support packages and middleware components
- How to connect embedded systems to IoT cloud platforms and deploy ML inference at the edge
- How to port and debug RTOS, including how to navigate kernel internals, configure memory management, and adapt RTOS for different embedded architectures
Get Hands-On Experience
- Develop multithreaded applications, manage task execution and debug system performance using RTOS tools
- Use logic analyzers and debugging tools to diagnose issues in SPI, I2C and UART communication
- Utilize GitHub, Visual Studio Code, OpenOCD and Arm GNU Toolchain for coding, version control, and debugging