Learn Embedded
8 expert-rated courses covering Embedded. Compared by rating, price, difficulty, and job relevance so you can pick the right one.
Embedded engineers are in high demand across software, hardware, robotics, and industrial automation roles. The average salary for Embedded engineers in the US is $103,390, and the job market is projected to grow 6% by 2026 according to the Bureau of Labor Statistics.
Key Facts About Embedded
- 1Embedded systems combine microprocessors, sensors, and actuators to control machines and devices in real-time.
- 2Popular Embedded platforms include Raspberry Pi, Arduino, and STM32 microcontrollers.
- 3Embedded software is written in C, C++, and assembly languages and must be highly optimized for performance.
- 4Key Embedded engineering skills include digital electronics, real-time programming, system design, and debugging.
- 5Embedded systems are mission-critical in sectors like automotive, industrial automation, aerospace, and medical devices.
Top Embedded Courses

Introduction to AI for Robotics
Arm Education's introduction to AI concepts for robotics applications including computer vision, planning, and embedded ML systems.

Machine Learning at the Edge on Arm
Deploy ML models on Arm-based edge devices. Learn TensorFlow Lite, model optimization, and real-time inference on embedded systems.

Edge AI Fundamentals
Learn the fundamentals of deploying AI on edge devices including model optimization, MLOps for edge, and IoT integration.

Internet of Things and AI Cloud
Build IoT applications connected to AI cloud services. Covers AWS, Android development, embedded software, and real-time data.

IoT-Based Smart Home Automation System on Budget
Build low budget IoT web and mobile controllers to control any device in your house via Internet using ESP8266 and Arduino IDE.

ROS 2 and Raspberry Pi (+ Arduino)
Create Embedded and Distributed Robotics Applications with ROS2 and Raspberry Pi.

Embedding Sensors and Motors
Design and implement sensor and motor systems for drones and robotic platforms from University of Colorado Boulder.

Embedded Systems Bare-Metal Programming Ground Up (STM32)
Master embedded systems programming from scratch using STM32 microcontrollers covering GPIO, timers, UART, SPI, I2C, and DMA.
Pro Tips for Learning Embedded
- #1Start with fundamental courses on Embedded systems architecture and microcontroller programming
- #2Practice hands-on projects using popular Embedded platforms like Raspberry Pi and Arduino
- #3Master C/C++ and assembly language to optimize Embedded software performance
Why Learn Embedded?
- Gain highly valuable, in-demand skills for a variety of industries and roles
- Develop expertise in real-time systems, embedded programming, and hardware-software integration
- Stand out with specialized Embedded knowledge that commands a premium salary