Course Overview

Autonomous Vehicles & AI

Duration: 2 Months

Autonomous Vehicles & AI is an advanced training program designed to teach students how artificial intelligence powers self-driving cars and intelligent transportation systems. Modern autonomous vehicles use AI algorithms, sensors, and computer vision technologies to detect objects, understand road conditions, and navigate safely without human intervention.

This 2-month course introduces students to the fundamentals of AI-based autonomous driving systems and vehicle perception technologies. Participants will learn how machine learning and computer vision help vehicles analyze real-time road data and make driving decisions.

During the program, students will explore concepts such as self-driving car AI architecture, vehicle sensors, and lane detection systems used in autonomous driving. The course also introduces tools like OpenCV for computer vision and YOLO (You Only Look Once) for real-time object detection, which are commonly used in AI-based vehicle perception systems.

Through practical examples and project-based learning, students will gain insights into how AI technologies enable vehicles to detect pedestrians, recognize traffic signs, and stay within road lanes.

By the end of the course, participants will understand the core technologies behind autonomous vehicles and how AI models support real-time driving decisions.

What You Will Learn

• Fundamentals of autonomous vehicles and AI systems
• Understanding self-driving car architecture
• Vehicle sensors and perception technologies
• Lane detection using computer vision techniques
• Object detection using YOLO models
• Using OpenCV for image and video processing
• AI applications in intelligent transportation systems

Final Project

AI-Based Lane Detection System

or

Object Detection Model for Autonomous Driving

Who This Course Is For

• School and college students interested in robotics and AI
• Students exploring careers in autonomous vehicle technology
• Developers interested in computer vision applications
• Technology enthusiasts interested in smart transportation systems

Why Choose This Course

• Learn core technologies behind self-driving vehicles
• Hands-on training with computer vision tools
• Practical learning with OpenCV and YOLO frameworks
• Project-based learning approach
• Certification upon completion