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Autonomous Vehicle Engineering
Coursera · Università di Napoli Federico II · Updated March 2026
Platform rating
4.4/5
AI Tutor Rating
8.2/10
Duration
1-3 months
Classes
60
Learn autonomous vehicle engineering from Università di Napoli covering simulation, computer vision, control systems, and big data.
What you'll get
Simulate and test autonomous driving scenarios
Apply computer vision to vehicle perception
Design control systems for autonomous vehicles
Fit
Best for
Autonomy Engineers
Self-Driving Developers
IoT Engineers
Systems Engineers
Not ideal for
Complete beginners
Non-technical learners
Prerequisites & pricing
Prerequisites
Basic engineering knowledge
Pricing
Subscription
Certification
Certificate
Growth Leverage: Completing this course positions individuals for roles such as Autonomous Vehicle Engineer, Robotics Engineer, or Data Scientist in transportation sectors. It opens pathways to certifications in robotics and AI, enhancing career options in rapidly evolving fields like self-driving technology and smart transportation systems.
Skills Value: The skills in simulation, computer vision, and control systems are highly sought after, with median salaries for autonomous vehicle engineers reaching $100,000 or more annually due to high market demand. Employers value these skills for their critical role in developing safer, efficient autonomous driving solutions.
Autonomous Vehicles
Simulation
Computer Vision
Control Systems