Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: AAC, 48.0 KHz
Language: English | Size: 8.98 GB | Duration: 16h 18m
Embedded Systems, IoT, RTOS, Deep Learning, Linux and Raspberry PI, ESP32, Arduino
What you’ll learn
Hardware Design Using FPGA by Learning VHDL
Raspberry Pi, Arduino and ESP32
Microcontroller Programming and Simulation
Multi-Threading For Embedded Systems and RTOS
IoT, Remote Control and Monitoring for Embedded Systems
Linux Based Embedded Systems
Deep Learning and Image Processing
Hardware Technologies to be taught:
ESP32 (Node MCU)
Programming Languages to be taught:
Communication and Cloud Technologies to be taught:
Techniques to be taught:
Combinational Logic Design
Sequential Logic Design
Digital and Analog Signals
Basics of Artificial Intelligence
Deep Neural Networks
No other E-learning content tried linking all digital sciences with embedded systems like 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 Realtime 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 the my main drive here.
Who this course is for:
Anyone who want to learn about Embedded Systems from Scratch
Electrical and Electronics Engineers