The ADAS, Autonomous, and Connected Vehicles course explains how cars sense, decide, and act. Learn ADAS and autonomous driving building blocks, from sensors to software. Study perception, sensor fusion, timing, latency, handover limits, and where machine learning fits. See how teams test, manage functional safety, and address cybersecurity. Link goals to architecture, data paths, and test plans. Review trade-offs and failure cases to design, integrate, and validate driver-assist and connected features.
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The course is structured into progressive modules covering hardware, software, algorithms, and system-level integration for ADAS and autonomous vehicles.
Key topics include:
This modular approach builds end-to-end expertise in smart mobility systems.








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).

A brainchild of pManifold, evACAD is a team of EV and Sustainability experts with more than 150 years of combined experience with e-Mobility. Our applications and practice-based learning programmes are designed to help you develop your current skill set while staying relevant to industry standards and procedures utilised by the top business players around the globe.
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