- This course explores AI-driven innovations in the automobile industry, including autonomous vehicles, predictive maintenance, and manufacturing optimization. Tailored for automotive engineers and industry professionals, the course will help students harness AI to transform the automotive sector.
- Level: Intermediate
- Prerequisites: Background in engineering or automotive technologies.
- Assessments: Micro Assessment weekly, Full Assessment in the final week.
Week 1 - AI in Autonomous Vehicles
Learning OutcomeLearn how AI is revolutionizing the development of self-driving cars.
1.1 AI for object detection and recognition in autonomous vehicles.1.2 Sensor fusion for autonomous navigation (LIDAR, radar, cameras).
1.3 Path planning and decision-making algorithms in autonomous systems
Practical Component
Implement AI models for object detection in simulated driving environments
Week 2 - AI for Predictive Maintenance in Vehicles
Learning OutcomeUnderstand how AI predicts and prevents vehicle failures through maintenance optimization.
2.1 Using AI for predictive analytics in engine performance.2.2 Machine learning models for vehicle health monitoring.
2.3 AI-based solutions for component failure detection
Practical Component
Develop a predictive maintenance system using AI for vehicle diagnostics
Week 3 - AI for Manufacturing and Production Line Optimization
Learning OutcomeLearn how AI is used to enhance efficiency and precision in automotive manufacturing
3.1 AI for quality control and defect detection.3.2 Optimizing production scheduling and resource allocation using AI.
3.3 AI-driven robotics in automotive assembly lines.
Practical Component
Build an AI model for quality inspection in automotive production.
Week 4 - AI in Automotive Supply Chain and Logistics
Learning OutcomeExplore AI-driven solutions for streamlining automotive supply chains and logistics
4.1 Demand forecasting and inventory management with AI.4.2 AI for route optimization and delivery scheduling.
4.3 AI-powered supply chain risk management
Practical Component
Develop an AI solution to optimize supply chain operations in an automotive manufacturing plant.
Week 5 - AI in Vehicle Safety and Driver Assistance Systems
Learning OutcomeUnderstand AI applications in enhancing vehicle safety and driver assistance features
5.1 AI-powered lane detection, collision avoidance, and emergency braking systems.5.2 Advanced driver-assistance systems (ADAS) using AI.
5.3 AI models for improving road safety through real-time hazard analysis.
Practical Component
Build an AI-driven safety feature for autonomous vehicles using computer vision
Week 6 - Capstone Project and Assessment
Learning OutcomeDevelop an AI solution for a specific challenge in the automotive industry
6.1 Implement an AI solution for autonomous driving, predictive maintenance, or production optimization.6.2 Peer assessment and feedback.
6.3 Final project presentation and evaluation.
Practical Component
Present an AI-based project demonstrating its impact on the automotive sector