Comprehensive Course on Advanced Automotive Technologies
Master the Future of Automotive Engineering: ADAS, Autonomous Vehicles, Software Development, and Cybersecurity
This comprehensive course is designed for engineers and developers aiming to excel in advanced automotive technologies, including Advanced Driver Assistance Systems (ADAS), Autonomous Vehicle (AV) Development, Automotive Software Development, and Automotive Cybersecurity. Gain hands-on experience and in-depth knowledge to drive innovation and ensure safety in the automotive industry.
Course Description:
Over four months, this course provides a deep dive into cutting-edge automotive technologies. You’ll learn about the design, development, and implementation of ADAS and AV systems, the intricacies of automotive software development, and the critical aspects of cybersecurity. The course is structured to offer both theoretical knowledge and practical skills, preparing you to tackle real-world challenges in the automotive sector.
Learning Outcomes:
- AdvancedDriverAssistanceSystems(ADAS):
- Understand the history, benefits, and limitations of ADAS.
- Learn about ADAS levels of automation (SAE J3016) and core functionalities.
- Master sensor technologies, system design principles, and calibration procedures.
- Autonomous Vehicles (AV) Development:
- Grasp the core technologies and challenges in AV development.
- Dive into perception, planning, control systems, and sensor suites forAVs.
- Implement path planning, decision-making algorithms, and work with simulation platforms.
Automotive Software Development:
Navigate the automotive software development lifecycle (ASDL).
Apply functional safety standards (ISO 26262) and programming languages (C, C++, AUTOSAR).
Utilize development tools and techniques to ensure robust software components.
Automotive Cybersecurity:
Identify threats, vulnerabilities, and attack vectors in automotive systems.
Implement secure coding practices and vehicle intrusion detection and prevention systems (VIDS/VIPS).
Understand regulations and standards for automotive cybersecurity.
Pre-requisites:
- Basic knowledge of programming (Python, C, or C++)
- Familiarity with basic automotive concepts
- Sound knowledge of AI Techniques specially Deep Learning
- An understanding of general software development practices
