Duration: 5 days – 35 hrs
Overview
This Artificial Intelligence in Automotive V2 training course provides participants with a comprehensive understanding of how Artificial Intelligence (AI) is revolutionizing the automotive industry. Through real-world examples, case studies, and hands-on activities, participants will explore AI applications in autonomous driving, smart manufacturing, predictive maintenance, and in-vehicle systems. By the end of the course, they will gain the knowledge and skills to apply AI technologies to solve complex automotive challenges and improve operational efficiency.
Objectives
• Understand the role of AI in transforming the automotive industry, including its applications in autonomous driving, manufacturing, and vehicle diagnostics.
• Explore AI technologies such as machine learning, neural networks, and computer vision used in autonomous vehicles and smart systems.
• Gain insights into AI-driven predictive maintenance, enabling proactive vehicle diagnostics and reducing downtime.
• Learn how AI optimizes automotive manufacturing processes and supply chain management for improved efficiency.
• Analyze ethical and regulatory considerations surrounding AI in the automotive sector, ensuring compliance and safety.
• Apply AI techniques through hands-on projects, including object detection and predictive maintenance models.
Audience
• Automotive engineers, designers, and developers
• Data scientists and AI specialists
• Professionals working in automotive manufacturing, supply chain, or customer experience
• Technology enthusiasts and automotive professionals interested in AI
Prerequisites
• Basic understanding of automotive systems and technology
• Familiarity with programming concepts (e.g., Python) and data analysis
• Knowledge of machine learning or AI fundamentals is helpful but not required
• Interest in the application of AI technologies within the automotive industry
Course Content
Module 1: Introduction to Artificial Intelligence in Automotive
• Overview of AI and Machine Learning (ML)
o What is AI?
o Types of AI (Narrow, General, Super AI)
o Role of ML in AI advancements
• History of AI in the Automotive Industry
o Evolution of AI in automotive applications
o Key milestones and innovations
Module 2: AI in Autonomous Driving
• Understanding Autonomous Vehicles
o Levels of vehicle autonomy (SAE Levels 0-5)
o Core technologies behind self-driving cars (sensors, LIDAR, RADAR, cameras)
• AI Algorithms for Autonomous Driving
o Object detection and recognition
o Path planning and decision-making
o Reinforcement learning and its applications in autonomous navigation
• Challenges in Autonomous Driving
o Regulatory issues
o Safety and ethical considerations
Module 3: AI in Automotive Manufacturing and Supply Chain
• AI in Smart Manufacturing (Industry 4.0)
o Role of AI in optimizing production lines
o Predictive maintenance using AI and IoT
• AI-Driven Supply Chain Optimization
o Use of AI in managing inventories and logistics
o Forecasting demand with AI
Module 4: AI in Predictive Maintenance and Vehicle Diagnostics
• Predictive Maintenance Overview
o How AI models predict equipment failures
o Benefits of predictive maintenance for automotive companies
• AI in Vehicle Diagnostics
o AI-powered diagnostic systems
o Predicting component wear and tear
Module 5: AI in Automotive Design and Engineering
• AI-Powered Design Tools
o How AI assists in vehicle design
o Generative design algorithms
• AI in Engineering Simulation
o Use of AI in crash simulations and performance testing
o Optimizing engineering workflows with AI
Module 6: AI in Customer Experience and Personalization
• AI-Powered In-Vehicle Assistants
o Voice recognition systems (e.g., natural language processing)
o Personalized infotainment systems
• AI for Predictive Personalization
o Analyzing driver behavior to personalize vehicle settings
o AI-enabled driver assistance systems
Module 7: The Future of AI in Automotive
• Emerging Trends in AI and Automotive Technology
o AI in electric vehicles (EVs)
o The rise of connected and smart cars
• AI and the Future of Mobility
o AI’s role in shared mobility, ride-hailing, and robo-taxis
o Integration of AI with V2X (vehicle-to-everything) technologies
Module 8: Ethical and Regulatory Considerations
• AI Ethics in Automotive
o Handling biases in AI models
o Ethical dilemmas in autonomous decision-making
• Regulatory Framework for AI in Automotive
o Current regulations for AI in the automotive industry
o Compliance and safety standards
Module 9: Hands-On Projects and Case Studies
• Case Study 1: AI in Autonomous Vehicle Development
o Real-world example from leading automakers
• Case Study 2: AI in Predictive Maintenance Implementation
• Practical Workshop
o Building a simple AI model for vehicle component failure prediction
o Implementing AI for object detection in self-driving cars
Module 10: Conclusion and Future Opportunities
• Key Takeaways
o Summary of AI’s impact on the automotive industry
• Future Career Opportunities in AI and Automotive
o AI-related roles in automotive engineering, data science, and research
Conclusion
Artificial Intelligence in Automotive V2 provides a comprehensive understanding of how AI is transforming the automotive industry. From autonomous driving to predictive maintenance and smart manufacturing, participants will gain practical knowledge and hands-on experience in applying AI to real-world automotive challenges. By completing this course, learners will be equipped with the skills to optimize vehicle performance, enhance safety, and drive innovation in the evolving automotive landscape. Whether you’re an engineer, data scientist, or automotive professional, this course will prepare you to leverage AI for the future of mobility.
