Boost your career with real-time systems expertise. Master real-time theory, methods of analysis and design, and put them into practice.
The Real-Time Embedded Systems specialization is a series of four course taking you from a beginning practitioner, to a more advanced real-time system analyst and designer. Knowledge and experience gained on hard to master topics such as predictable response services, when to allocate requirements to hardware or software, as well as mission critical design will enhance your engineering talent. You will gain experience building a simple, but real, system project with real-time challenges, that will boost your confidence.
The hands-on, at home, project hardware is affordable, widely available, and quick-time-to market methods leverage Linux real-time extensions, open source RTOS (Real-Time Operating System), as well as tried and true cyclic executives.
After you complete all four courses in the series, you can consider yourself an intermediate to more advanced real-time system practitioner. This knowledge is invaluable for medical, aerospace, transportation, energy, digital entertainment, telecommunications, and other exciting embedded career options.
The series stresses hands-on practice and assessment of your learning progress, not only based on knowledge acquisition, but by teaching you to put theory into practice and how to evaluate design options and make optimal choices. The unique final project allows you to see real-time challenges with your eyes, to debug interactively, and build a simple at-home detection, tracking and synchronization system.
Applied Learning Project
Project work includes a series of real-time processing and concurrency exercises along with analysis and design in the first two courses. The third course provides experience with mission critical components like error correction code memory, flash file systems, and redundant hardware. In the final course, you put all of the practice together into your own design to build a real-time system that you can test at home. The project covers topics including: concurrency, Linux kernel modules, machine vision, co-processors, and correct function with timing constraints. You will use specific real-time extensions to Linux and compare advantages and disadvantages of Linux to more traditional RTOS, cyclic executive, and FPGA options. The experience you gain can be used to launch additional exploration of hybrid FPGA systems (e.g. Altera and Xilinx), GP-GPU (e.g. NVIDIA), and multi-core scale-up (e.g. ARM A and R-Series) as well as MCU scale-down solutions (ARM M-Series microprocessors).