Intermediate Level Certification
Python for Robotics
Master Python, OpenCV, and ROS basics for intelligent autonomous robotics.
Demo: Computer Vision Color Tracking with OpenCVClick to preview lesson 1 without enrolling
About this course
Upgrade your robots with vision and machine intelligence. Learn Python scripting on Raspberry Pi, image processing with OpenCV, serial communication with microcontrollers, and an introduction to ROS2.
What you will learn
- ✓Controlling hardware via Python on Linux / Raspberry Pi
- ✓Real-time computer vision with OpenCV: color masking, contour tracking, face detection
- ✓Bidirectional serial telemetry between Python and Arduino
- ✓Introduction to ROS2 (Robot Operating System) nodes and topics
- ✓Autonomous visual target following robot capstone project
Curriculum Syllabus
12 Modules · 10.0 Hours1
Python in Modern Robotics Overview
Why Python is the lingua franca of autonomous systems.
15:00Preview →
2
Raspberry Pi Linux Setup & Headless SSH
Remote terminal configuration and VS Code SSH.
22:00Preview →
3
PySerial: Arduino to Python Communication
Sending motor commands and reading sensor packets.
28:30Preview →
4
OpenCV Basics: Capturing Camera Frames
Frame rate optimization and resizing arrays.
25:10Preview →
5
Color Segmentation & Contour Detection
Detecting colored objects and bounding boxes.
34:00Preview →
6
Visual Servo Control: Tracking Objects
Keeping a ball centered in camera frame via servos.
36:15Preview →
7
Face Detection using Haar Cascades
Fast lightweight face detection on embedded boards.
26:40Preview →
8
Multithreading Video Capture for Low Latency
Decoupling frame grabbing from processing loop.
30:20Preview →
9
Introduction to ROS2 Nodes and Topics
Publisher-Subscriber paradigm in robotics.
40:00Preview →
10
ROS2 Messages & Teleoperation Node
Publishing Twist messages to geometry_msgs.
35:00Preview →
11
LiDAR Distance Mapping Basics
Plotting 2D laser scans and obstacle detection.
38:00Preview →
12
Final Project: Autonomous Visual Navigation Bot
Putting vision, control loop, and mobile robot together.
52:00Preview →