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Embedded AI & Robotics for Data Scientists

Welcome to the course repository for Embedded AI & Robotics for Data Scientists.

This repo contains:

  • Week-by-week lab guides
  • Example code
  • Tasks you need to complete and submit

Structure

  • week01_intro_and_first_arduino/
    Intro to the course + first hands-on with Arduino (Blink and button + LED).

More weeks will be added as the course progresses.

Hardware Used in This Course

  • Arduino Uno / Nano
  • ESP32 / ESP32-CAM
  • Raspberry Pi 5
  • SO-101 / SO-100 robot arm
  • Sensors: ultrasonic, LDR, temperature/humidity, accelerometer, etc.
  • Motors: DC, servo, stepper

How to Use This Repo

  1. Start with the week01_intro_and_first_arduino/README.md.
  2. Follow the step-by-step instructions in each week's README.
  3. Complete the tasks in tasks.md and submit as instructed.

About

This course introduces Bachelor of Data Science students to the physical side of AI: microcontrollers, sensors, motors, and robotics.

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