Build real devices from the breadboard up: electronics, microcontrollers, Raspberry Pi, sensors, networking, robotics, edge AI, and product shipping.
$ load track embedded-iot
[OK] 8 courses queued
[OK] 8 courses available
[OK] hardware-first learning mode
skills:
electronics GPIO
C / Python Linux
sensors MQTT / HTTP
motors robotics
computer vision deployment
final: ship a working deviceEach course ends with a real build. The early courses teach safe wiring and hardware fundamentals; the later courses move into Linux devices, robotics, and edge AI.
Zero to confident with breadboards, GPIO, Raspberry Pi OS, Linux basics, sensors, I2C/SPI, motors, networking, camera projects, and a full capstone.
Electricity, breadboards, resistors, LEDs, buttons, analog input, PWM, serial debugging, sensors, and the core logic behind small embedded devices.
Wi-Fi, Bluetooth, MQTT, HTTP APIs, sensor dashboards, device state, power awareness, and cloud-connected projects.
Build practical appliances: Pi-hole, home dashboard, NAS, security camera, remote access endpoint, and a network monitoring box.
Systemd services, logs, boot behavior, secure SSH, update scripts, Python daemons, background workers, and device deployment.
Motor drivers, servos, ultrasonic distance, line following, obstacle avoidance, encoders, joystick control, and autonomous rover logic.
Camera capture, OpenCV basics, object detection, face recognition concepts, notifications, model APIs, and small-device AI workflows.
Turn a prototype into a portfolio-ready product with a spec, architecture, BOM, setup automation, boot service, enclosure plan, test plan, documentation, demo assets, and release checklist.
The TeqStudy rule for this track: no course ends with theory only. Each one produces a portfolio-ready build with wiring notes, code, screenshots, troubleshooting steps, and a final demo.