Robotics Cover

Course Description

Robotics and Artificial intelligence (AI) are a powerful combination for automating and enhancing productivity, as well as solving complex problems in our world.

In this 8-module course, we will explore with you the world of robotics with AI by learning Python programming, handling sensor values, actuators and cameras. Students will be asked to work on the more practical sides in computer vision (Face Detection, Object detection with deep learning and OpenCV, Optical Character Recognition, etc) through applications of robotics using real-life examples. Students will achieve this by collecting data, training models and testing cases with Raspberry Pi in real life.

We're excited to learn about your creative ideas, and we look forward to helping you improve your research & development, teamwork, and presentation skills.

Course Topics

Module 1: Introduction

In the first module, we will introduce our students to the world of robotics, fields and components, while discussing the meaning of each concept and its modern day advantages

Module 2: Getting started with Raspberry Pi

Next, our students will be introduced to the models of Raspberry Pi and its components. Students will also be taught how to install and set up their own Raspberry Pi operating system.

Module 3: Python Basics

For this module, our students will focus on learning the basics of the Python programming language. Our students will grasp key concepts such as variables, operators, control flow, arrays, functions, and modules..

Module 4: Sensors & Actuators

Afterwards, our students will learn how to read and communicate with sensor values, and also learn how to control actuators. A summary of the topics we will cover includes ultrasonic sensor, light sensor, LEDs, buzzers, motors, PiCamera, and more.

Module 5: Raspberry Pi Car Model

Module five will teach students how to assemble a Raspberry Pi car model and its components, and how to control it through a smartphone application using Python commands. At the end of this module, students will begin working on several projects such as obstacle avoidance, track follower and more.

Module 6: Computer Vision

In this module, students will continue with their previous projects. In addition, students will be introduced to the computer vision (CV) field by exploring CV tools and solving challenges. Also, students will be asked to work with the OpenCV library using Python, where they will practice and test many CV operations on images, videos, and camera.

Module 7: AI Projects with Robotics

Here, students will work on different AI projects like object detection, optical character recognition (OCR) and image classification.

Module 8: Final Projects

In the final module, students will work on their own projects in groups and present their final projects to the class. Every student will receive their certificate of completion of this course.

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