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Embedded Systems Bootcamp: RTOS, IoT, AI, Vision and FPGA
Rating: 4.5 out of 5(945 ratings)
7,600 students

Embedded Systems Bootcamp: RTOS, IoT, AI, Vision and FPGA

All microcontrollers in one: Embedded Systems, IoT, RTOS, Deep Learning, Linux and Raspberry PI, ESP32, Arduino
Last updated 9/2023
English

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

Course content

31 sections189 lectures16h 18m total length
  • The Story Of The Bit5:58

    Explore the story of the bit by building simple control circuits with switches, showing how zero and one power a lamp, and revealing truth tables for and or gates.

  • Transistor Logic Gates2:02
  • Before we go further1:01
  • The Binary System7:10
  • Storage Circuits4:17
  • 5.The Basis of GPU Circuits1:49

    Explore how a display uses a 1080 by 960 matrix of lighting units to form patterns by turning lamps on and off through a control unit.

  • The Display Hardware5:42
  • Understanding The Differences11:24

    Explore the main types of industrial embedded systems, including FPGAs, Arduinos, MCUs, Raspberry Pi, NodeMCU, and PLCs. Understand how their architectures and use cases differ.

Requirements

  • No Prior Knowledge

Description

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