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The bootcamp runs across the whole stack in about 17 hours. It starts at the level of bits and logic gates in VHDL on an FPGA, moves up to microcontroller design and Arduino, and continues through ESP boards, Raspberry Pi and Linux.
Combinational and sequential logic, finite state machines and control units sit alongside real-time operating systems, semaphores, mutexes and task queues. The IoT section introduces MQTT and Node-RED, while the closing sections touch on neural networks and convolutional models for image processing.
Because the scope is wide, treat each section as an introduction and plan follow-up study for the areas you want to go deeper on.
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
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Tracking since 15 Nov — not enough history yet to tell you whether today's price is any good. Watch the course and we'll tell you when it drops.
This is what we recorded in US pricing — not every price this course has ever had, and prices differ by country.
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