Embedded Electronics Bootcamp: From Bit to Deep Learning

Description :

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Hardware Technologies to be taught: FPGA Raspberry PI Arduino ESP32 (Node MCU) Programming Languages to be taught: C Python VHDL Communication and Cloud Technologies to be taught: UART SPI MQTT Node-Red Hivemq Techniques to be taught: Combinational Logic Design Sequential Logic Design FSM Control Units Tinker CAD Digital and Analog Signals Interrupts Android Control Remote Control RTOS Semaphores Mutexes Sharing Resources Queues Parametrized Tasks Structures Linux Basics of Artificial Intelligence Neural Networks Deep Neural Networks CNN No other E-learning content tried linking all digital sciences with embedded systems as we did. Starting with FPGA and the VHDL hardware design programming language. specifically from the smallest signal which we call the bit, to building simplified calculation and registration units used in microcontrollers from scratch! And what I mean by scratch is, building it out of basic Logic gates and registers. Then Moving to AVR uC and the famous Arduino, and building it up to run The famous real-time operating system (RTOS) in order to run Multi-threading based application. Then dialing it up a notch and introducing ESP boards to run IoT applications, establishing communication to Node-red, android devices, and learning about remote access control. Closing the whole thing by introducing raspberry pi and Linux. And building up with a basic Python introduction, Neural Networks, before building Embedded Deep learning image processing based models. And all of that is hands-on! No plain theory, no philosophical block of texts explaining useless concepts. Getting your hands dirty, is my main drive here.