Degree Courses
.Technology and Engineering.
Bachelor of AI and Autonomous Driving
Overview
This bachelor's degree program provides an interdisciplinary education in AI, robotics, and vehicular technologies. Students will explore advanced topics such as perception systems, sensor fusion, autonomous decision-making, and vehicular communication networks. With a focus on hands-on experience, students will participate in lab work, simulations, and real-world projects, culminating in a comprehensive capstone project.
Duration: 3 years (Full-time or Part-time options available).
Learning Method: Online, face-to-face, or hybrid.
Objective: Equip students with the technical expertise and innovation mindset to develop autonomous driving systems, ensuring safety, efficiency, and sustainability in transportation.
Minimum qualification: Completion of high school or equivalent with strong academic performance and a recognized diploma or foundation in mathematics, physics, or computer science.
Recommended Background: Interest in AI, robotics, and transportation systems. Basic understanding of programming and engineering concepts is beneficial.
1. Industry-aligned curriculum covering the latest in autonomous driving and AI technologies.
2. Hands-on experience with robotics, sensor technologies, and simulation tools.
3. Access to state-of-the-art laboratories and autonomous vehicle prototypes.
4. Partnerships with leading automotive and technology companies for internships and projects.
5. Focus on ethical considerations and regulatory compliance in autonomous systems.
1. Mastery in designing and developing AI-driven autonomous systems.
2. Proficiency in sensor integration, perception systems, and decision-making algorithms.
3. Ability to simulate and test autonomous vehicle models in real-world scenarios.
4. Understanding of ethical, legal, and social implications of autonomous driving.
Module Guide
1. Introduction to AI and Autonomous Systems: Fundamentals of AI and autonomous driving technologies.
2. Programming Essentials: Core programming skills in Python, C++, and MATLAB.
3. Engineering Principles for Smart Mobility: Basics of mechanical and electrical systems.
4. Foundations of Robotics: Introduction to robotics, sensors, and actuators.
1. Perception Systems and Sensor Fusion: LIDAR, RADAR, cameras, and data integration.
2. Machine Learning for Autonomous Vehicles: Supervised and unsupervised learning models.
3. Embedded Systems and IoT for Smart Cars: Development of hardware-software integration.
4. Human-Machine Interface (HMI): Designing user-friendly and intuitive interfaces.
1. Autonomous Decision-Making and Control: Path planning, obstacle avoidance, and motion control.
2. Advanced Vehicle Communication Networks: V2X (Vehicle-to-Everything) technologies.
3. Ethics and Regulations in Autonomous Systems: Legal and societal considerations.
4. Capstone Project: Development and demonstration of an autonomous vehicle prototype.
Certification
Graduates will earn the Bachelor of AI and Autonomous Driving from Quantum Infinity Education, recognized internationally and signifying expertise in autonomous vehicle technologies and AI systems development.
Course Fees
Fees for domestic students range from $10,000 to $15,000 per year. The cost reflects the comprehensive learning resources, industry exposure, and high-quality education provided. Flexible payment plans and installment options are available.
Any Questions?
Send a comment to us !