Introduction:
The automotive industry is undergoing a major transformation with the introduction of connected vehicles, smart mobility solutions, and advancements in automotive IT infrastructure. This course provides participants with a comprehensive understanding of how information technology (IT) is integrated into the automotive industry, from connected vehicles and autonomous driving systems to smart manufacturing and vehicle data management. Participants will explore the latest trends in automotive IT, the role of connectivity in modern vehicles, and the technologies that enable smart mobility and vehicle-to-everything (V2X) communication.

Objectives:
By the end of this course, participants will be able to:

• Understand the fundamental technologies behind connected vehicles and automotive IT systems.
• Learn about the role of V2X communication, IoT, and cloud computing in connected vehicles.
• Explore the latest trends in autonomous driving, including sensors, AI, and machine learning.
• Understand the cybersecurity challenges and solutions in the automotive industry.
• Learn about data management, diagnostics, and over-the-air (OTA) updates in connected vehicles.
• Understand the regulatory, legal, and ethical considerations in automotive IT and connected vehicle systems.

Who Should Attend?
This course is designed for professionals working in the automotive, technology, and IT sectors who want to understand the intersection of automotive technology and IT systems. It is suitable for:

• Automotive engineers and IT professionals.
• Data analysts and software developers working on vehicle-related technologies.
• Managers in automotive OEMs (Original Equipment Manufacturers) and Tier-1 suppliers.
• Entrepreneurs and business owners working on connected vehicle or smart mobility solutions.
• Anyone interested in exploring the future of automotive IT, connectivity, and autonomous driving.

Day 1: Introduction to Automotive IT and Connected Vehicles

Morning Session:

• Overview of Automotive IT and Connected Vehicles

  • What is Automotive IT? The integration of IT systems into the vehicle ecosystem.
  • Defining connected vehicles: What makes a vehicle connected, and why it matters.
  • Vehicle-to-Everything (V2X) communication: Vehicles, infrastructure, pedestrians, and networks.
  • Trends in automotive connectivity: Telematics, infotainment, remote diagnostics, and autonomous vehicles.
  • The role of IoT (Internet of Things) in connected vehicles.

• Vehicle Data: The Backbone of Connected Vehicles

  • Types of data generated by vehicles: Real-time data, diagnostics, driver behavior, and sensor data.
  • The importance of data for predictive maintenance, navigation, and safety.
  • Cloud-based data storage and analytics in automotive applications.

Afternoon Session:

• Hands-On Lab: Vehicle Data Systems
  • Participants will explore how connected vehicles collect, transmit, and store data.
  • Exploring telematics systems: Telematics data platforms, dashboards, and analytics tools for fleet management.

Day 2: Autonomous Vehicles and Sensor Technologies

Morning Session:

• Introduction to Autonomous Driving Technologies
  • What is autonomous driving? The levels of automation (Levels 0-5).
  • Key technologies enabling autonomous vehicles: AI, machine learning, and deep learning.
  • Role of sensors in autonomous driving: LIDAR, cameras, radar, and ultrasonic sensors.
  • Sensor fusion: Combining data from multiple sensors to make real-time decisions.
• Artificial Intelligence and Machine Learning in Autonomous Vehicles
  • How AI and machine learning are used in object detection, decision-making, and navigation.
  • Challenges in AI for autonomous vehicles: Safety, reliability, and explainability.
  • Real-world applications: Tesla, Waymo, and other autonomous driving systems.

Afternoon Session:

• Hands-On Lab: Exploring Autonomous Vehicle Simulation
  • Participants will use simulation tools to explore how sensors and AI are used in autonomous driving systems.
  • Simulating basic autonomous vehicle behaviors, such as obstacle detection and path planning.

Day 3: Connectivity and Communication in Automotive Systems

Morning Session:

• Vehicle-to-Everything (V2X) Communication
  • What is V2X communication and its components: Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), Vehicle-to-Pedestrian (V2P), and Vehicle-to-Network (V2N).
  • The role of V2X in improving traffic flow, reducing accidents, and enabling smart cities.
  • V2X standards and protocols: DSRC (Dedicated Short-Range Communications) vs. C-V2X (Cellular V2X).
• Telematics and Infotainment Systems
  • Overview of telematics systems in connected vehicles: Communication, navigation, and entertainment.
  • The importance of infotainment systems in modern vehicles: User experience, app integration, and media streaming.
  • Over-the-air (OTA) updates: Remote software updates for vehicles and enhancing vehicle performance.

Afternoon Session:

• Hands-On Lab: Telematics and Connectivity in Vehicles
  • Participants will set up basic telematics applications in a vehicle simulator and explore how infotainment and telematics systems communicate.
  • Understanding how to perform OTA updates and manage vehicle data remotely.

Day 4: Cybersecurity and Regulatory Challenges in Connected Vehicles

Morning Session:

• Cybersecurity in Connected Vehicles

  • Understanding cybersecurity risks in connected vehicles: Remote hacking, data breaches, and malicious attacks.
  • Key challenges in securing vehicle data, communication channels, and onboard systems.
  • Common vulnerabilities in connected vehicles: CAN bus vulnerabilities, over-the-air (OTA) updates, and vehicle-to-infrastructure (V2I) communications.
  • Best practices for securing automotive IT systems: Encryption, secure communication, and multi-factor authentication.

• Regulatory and Compliance Issues

  • Understanding global standards and regulations: GDPR, CCPA, and automotive safety regulations (ISO/SAE 21434).
  • The role of regulatory bodies in the automotive industry: NHTSA (National Highway Traffic Safety Administration), ISO, and UNECE.
  • Privacy concerns in connected vehicles: Data ownership, consent, and sharing.

Afternoon Session:

• Hands-On Lab: Implementing Cybersecurity Measures
  • Participants will explore cybersecurity tools and techniques used to secure vehicle systems, such as encryption and secure communication protocols.
  • Simulating common vulnerabilities and discussing methods to mitigate these risks.

Day 5: Future Trends, Challenges, and Business Opportunities in Automotive IT

Morning Session:

• The Future of Connected Vehicles and Smart Mobility

  • How connected vehicles are contributing to the future of smart cities and urban mobility.
  • The role of 5G and edge computing in connected and autonomous vehicles.
  • How electric vehicles (EVs) are integrating with connected systems for better energy management.
  • The future of V2X and its potential for driverless vehicles, ride-sharing, and intelligent transportation systems.

• Business and Innovation in Automotive IT

  • Exploring the business opportunities in automotive IT: Software-as-a-Service (SaaS), cloud platforms, data analytics, and smart vehicle services.
  • Investment opportunities and the startup ecosystem in automotive technology.
  • Collaboration between automakers and technology companies in advancing connected vehicle technologies.

Afternoon Session:

• Hands-On Lab: Future Technologies

  • Participants will explore how 5G, AI, and edge computing are transforming connected vehicles.
  • Discussion and exploration of how connected vehicles will integrate into future smart cities.

• Final Q&A and Course Wrap-Up

  • Recap of key concepts covered during the course.
  • Open Q&A session to address any remaining questions.
  • Tips and resources for further learning in automotive IT and connected vehicles.