
Advanced AI in the Automotive Industry
This advanced course delves into the transformative role of AI and Large Language Models (LLMs) in the automotive industry. It covers a broad range of topics including autonomous driving technologies, AI-powered vehicle design, smart manufacturing, connected vehicles, predictive maintenance, and advanced customer experiences. The course also explores advanced applications of AI in vehicle intelligence, performance optimization, ethics, privacy, and the future of AI-driven mobility.
Add a Title
Add paragraph text. Click “Edit Text” to update the font, size and more. To change and reuse text themes, go to Site Styles.
Course Duration:
36 hours
Level:
Advanced

Course Objectives
To understand and implement advanced AI and LLM techniques in autonomous driving, vehicle design, and manufacturing.
To explore the application of AI in predictive maintenance, smart mobility, and connected vehicle ecosystems.
To develop AI-driven solutions for real-world automotive challenges, including safety, optimization, and performance.
To gain hands-on experience with advanced machine learning techniques, reinforcement learning, and NLP/LLMs in automotive contexts.
To analyse the ethical, security, and privacy concerns surrounding AI in the automotive industry.
Prerequisites
Strong foundation in AI and machine learning, including deep learning, reinforcement learning, and NLP.
Familiarity with automotive technologies, autonomous vehicles, and smart manufacturing systems.
Proficiency in Python programming and familiarity with machine learning frameworks like TensorFlow or PyTorch.
Understanding of automotive systems, IoT, and AI-driven innovations in mobility is recommended.
