Embedded Electronics Bootcamp: From Bit to Deep Learning
Learn hardware design using FPGA, Raspberry Pi, Arduino, and ESP32. Explore programming languages like C, Python, and VHDL. Discover communication and cloud technologies such as UART, SPI, MQTT, and Node-Red. Master techniques like combinational and sequential logic design, control units, and RTOs. This hands-on course is perfect for electronics hobbyists, computer engineers, and electrical and electronics engineers looking to learn embedded systems from scratch. Boost your knowledge in artificial intelligence, neural networks, and deep learning. Start building your skills today!
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
- Python
- Deep Learning and Image Processing
No other E-learning content tried linking all digital sciences with embedded systems like we did with this 17 hours content.
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.
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
Who this course is for:
- Anyone who want to learn about Embedded Systems from Scratch
- Electronics Hobbyists
- Robotics Hobbyists
- Computer Engineers
- Electrical and Electronics Engineers
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