Artificial Intelligence in Automotive Training in Copenhagen, Denmark

This course provides an introduction to the applications of artificial intelligence (AI) in the automotive industry, exploring its role in autonomous driving, predictive maintenance, and enhancing user experience.

Introduction to AI in Automotive

Module 1: Overview of AI in Automotive

What is AI? Understanding its basics and applications.

Role of AI in transforming the automotive industry.

Key AI technologies in automotive systems (Machine Learning, Computer Vision).

Module 2: AI for Advanced Driver Assistance Systems (ADAS)

ADAS overview and components.

Computer vision and AI for object detection and lane tracking.

Hands-free driving and AI-powered safety features.

Module 3: Autonomous Vehicles

AI technologies enabling self-driving cars.

Sensor fusion and data processing in autonomous vehicles.

Ethical and legal challenges in autonomous systems.

AI Applications and Challenges in Automotive

Module 4: Predictive Maintenance and Vehicle Diagnostics

Role of AI in predictive analytics for automotive.

Machine learning for detecting vehicle faults and preventing failures.

Case study

Module 5: AI in Manufacturing and Supply Chain

Applications of AI in automotive manufacturing processes.

AI for optimizing the supply chain and quality control.

Industry use cases of AI in automotive production.

Module 6: Enhancing Customer Experience with AI

AI in infotainment systems and personalized user experiences.

Virtual assistants and natural language processing in vehicles.

Challenges in integrating AI with existing automotive systems.

Interactive Components

Group Discussions: Identifying AI opportunities in automotive innovation.

Case Studies: Real-world scenarios on AI applications in autonomous driving and manufacturing.

Collaborative Activities: Proposing AI-driven solutions for specific automotive challenges.

Hands-On Labs