Master Advanced Driver Assistance Systems (ADAS), Autonomous Driving, Computer Vision, Sensor Fusion, LiDAR, Functional Safety, Automotive AI, and Connected Vehicle Technologies through an industry-oriented online course designed for engineers and mobility professionals.
.jpg)
The Smart Mobility: ADAS, Autonomous & Connected course is designed to help engineers and mobility professionals build expertise in next-generation automotive technologies.
The course provides practical understanding of ADAS architecture, sensor technologies, LiDAR, radar systems, camera perception, Computer Vision, Artificial Intelligence, Machine Learning, autonomous vehicle validation, cybersecurity, and connected mobility.
Learners gain industry-oriented knowledge through structured modules, real-world examples, and hands-on learning that prepares them for future mobility careers.







The global autonomous vehicle market is expanding rapidly as automotive manufacturers invest heavily in self-driving technologies, connected mobility, and intelligent transportation systems. Engineers skilled in ADAS and autonomous systems are becoming increasingly valuable across automotive, mobility, and technology companies.
Modern passenger and commercial vehicles increasingly feature ADAS technologies such as adaptive cruise control, lane keeping assistance, automatic emergency braking, blind spot monitoring, and driver monitoring systems. This creates strong demand for engineers with practical ADAS expertise.
Artificial Intelligence, Machine Learning, Computer Vision, and Sensor Fusion have become the foundation of intelligent transportation systems. Automotive companies actively recruit engineers capable of developing perception, decision-making, and autonomous driving algorithms.
Governments worldwide are introducing stricter vehicle safety regulations, NCAP standards, and autonomous driving guidelines. Knowledge of ISO 26262, functional safety, automotive cybersecurity, and ADAS validation has become essential for automotive engineers.
The automotive industry faces a shortage of professionals skilled in autonomous driving software, sensor integration, perception systems, AI, embedded systems, and functional safety. Upskilling through specialized Smart Mobility programs helps bridge this gap.
Professionals with expertise in ADAS, Computer Vision, LiDAR, Sensor Fusion, AI, and Connected Mobility can pursue high-growth careers across OEMs, Tier-1 suppliers, mobility startups, and autonomous technology companies.

33+ years of Product Design, Development & Management Consulting experience. An accomplished, performance-driven & focused professional having rich experience in Engineering & Management mainly focusing on Vehicle Integration (Mobility, Electrical & Electronics), Systems Engineering, Project Management, Strategic Planning & Business Development in the Automotive, Defense, and Industrial Automation & Instrumentation field. He did his Diploma & Bachelor of Engineering (Instrumentation), Master of Business Studies (Marketing Management), PhD (Product Lifecycle & Obsolescence Management).
Upon successful completion of the course, learners will be able to:
• Understand autonomous vehicle architecture.
• Design ADAS solutions for passenger vehicles.
• Apply Computer Vision algorithms in mobility applications.
• Understand Sensor Fusion techniques.
• Analyse LiDAR and Radar data.
• Apply AI & Machine Learning for autonomous driving.
• Understand Functional Safety (ISO 26262).
• Validate ADAS systems.
• Understand automotive cybersecurity.
• Build end-to-end Smart Mobility solutions.
After completing this course, learners can pursue roles such as:
• ADAS Engineer
• Autonomous Vehicle Engineer
• Computer Vision Engineer
• Sensor Fusion Engineer
• Machine Learning Engineer
• Functional Safety Engineer
• Automotive AI Engineer
• Vehicle Validation Engineer
• Embedded Systems Engineer
• Mobility Software Engineer
The technologies covered in this program are widely used across:
• Passenger Vehicle Manufacturers
• Commercial Vehicle OEMs
• Autonomous Driving Companies
• EV Startups
• Tier-1 Automotive Suppliers
• Mobility Technology Companies
• Robotics & Intelligent Transportation
• Automotive Software Companies