Home→Courses→Insuring Autonomous Vehicles and New Mobility Training Course
Insurance
Insuring Autonomous Vehicles and New Mobility Training Course
Introduction
The rapidly evolving landscape of autonomous vehicles (AVs), electric vehicles (EVs), and new mobility solutions such as ride-sharing, drones, and connected transport systems has brought significant disruptions and opportunities to the insurance sector. As smart mobility technologies redefine transportation, insurers must rethink traditional models to adapt to the data-driven, AI-integrated, and tech-centric nature of autonomous and connected mobility ecosystems. Training Course on Insuring Autonomous Vehicles & New Mobility is designed to equip professionals with the knowledge, tools, and insights necessary to navigate the complexities of insuring autonomous vehicles and future mobility solutions.
With key focuses on risk assessment in autonomous driving, insurance underwriting for EVs, regulatory compliance, and cybersecurity in smart mobility, this course prepares insurance professionals, regulators, and mobility innovators for the future. Learn to analyze real-world case studies, explore AI-based telematics, and design future-proof policies for mobility-as-a-service (MaaS), drone logistics, and AV fleets. The course balances technical training with strategic foresight and regulatory alignment.
Programme Curriculum
Insuring Autonomous Vehicles and New Mobility Training Course
Introduction
The rapidly evolving landscape of autonomous vehicles (AVs), electric vehicles (EVs), and new mobility solutions such as ride-sharing, drones, and connected transport systems has brought significant disruptions and opportunities to the insurance sector. As smart mobility technologies redefine transportation, insurers must rethink traditional models to adapt to the data-driven, AI-integrated, and tech-centric nature of autonomous and connected mobility ecosystems. Insuring Autonomous Vehicles and New Mobility Training Course equip professionals with the knowledge, tools, and insights necessary to navigate the complexities of insuring autonomous vehicles and future mobility solutions.
With key focuses on risk assessment in autonomous driving, insurance underwriting for EVs, regulatory compliance, and cybersecurity in smart mobility, this course prepares insurance professionals, regulators, and mobility innovators for the future. Learn to analyze real-world case studies, explore AI-based telematics, and design future-proof policies for mobility-as-a-service (MaaS), drone logistics, and AV fleets. The course balances technical training with strategic foresight and regulatory alignment.
Course Objectives
Understand risk modeling for autonomous and connected vehicles.
Explore insurance frameworks for electric and self-driving vehicles.
Analyze liability in autonomous accidents and AI decision-making.
Navigate global regulatory frameworks for smart mobility insurance.
Assess cybersecurity risks in autonomous transportation systems.
Evaluate telematics and IoT data for predictive underwriting.
Create policies for drone delivery and air mobility solutions.
Address ethical and legal issues in AV insurance claims.
Develop insurance strategies for ride-sharing and fleet services.
Incorporate ESG and sustainability goals in mobility insurance.
Identify opportunities in blockchain-enabled claims processing.
Forecast trends in autonomous vehicle insurance market growth.
Apply machine learning to claims management and fraud detection.
Target Audiences
Target Audiences:
Insurance Professionals
Risk Managers
Regulatory Officers
Legal Advisors
Tech Startups in Mobility
Fleet Managers
Automotive OEMs
Policy Analysts
Course Duration: 5 days
Course Modules
Module 1: Foundations of Autonomous Vehicle Insurance
Evolution of mobility insurance
Risk factors in Level 3–5 autonomous vehicles
Legal frameworks and state-level AV policies
Product liability vs. driver liability
Key terms: ADAS, AI, LiDAR, and insurance
Case Study: Tesla Autopilot Insurance Controversy
Module 2: Underwriting for New Mobility
Usage-based and behavior-based insurance (UBI/BBI)
Telematics and real-time risk profiling
Data privacy laws (e.g., GDPR, CCPA) in underwriting
Pricing models for EVs, AVs, and shared mobility
AI-driven claims prediction models
Case Study: Lemonade’s AI-Powered Policy Platform
Module 3: Liability and Claims in the Age of Autonomy
Who is liable in an AV crash?
Role of OEMs, software providers, and users
Legal precedents shaping AV claims
Autonomous ethics and insurance
Litigation trends in smart mobility
Case Study: Waymo vs. Human Driver Lawsuit
Module 4: Cybersecurity & Data Protection
Cyber threats to AV ecosystems
Risk transfer and cyber insurance for AVs
Threat modeling in vehicle software
Data breach reporting and liability
Connected car security frameworks (ISO 21434)
Case Study: Jeep Cherokee Hacking Incident
Module 5: Regulation & Compliance in Autonomous Insurance
Global insurance regulations for AVs (US, EU, APAC)
Compliance tools for emerging insurers
Legal frameworks for cross-border AV operations
Role of government in AV insurance development
Public-private collaboration for AV safety
Case Study: UK’s Automated and Electric Vehicles Act 2018
Module 6: Fleet & MaaS (Mobility as a Service) Insurance
Insuring ride-hailing and robo-taxi services
Risk assessment of AV delivery fleets
Insurance for e-scooters and shared bikes
Dynamic pricing for fleet insurance
Claims management for on-demand transport
Case Study: Uber’s Partnership with Marsh Insurance
Module 7: Drone & Aerial Mobility Insurance
Insurance needs for UAV logistics
Regulatory compliance (FAA, EASA) for drones
Valuation of air mobility risk
Liability and collision issues in urban air mobility
Hybrid models for multi-modal insurance
Case Study: Zipline Drone Delivery and Risk Pooling
Module 8: Future Trends & Technology in Mobility Insurance
Blockchain in claims processing and smart contracts
Machine learning in fraud detection
Predictive analytics and AI adoption
ESG-focused insurance for green mobility
Market growth and investment opportunities
Case Study: Swiss Re’s Mobility Innovation Incubator
Training Methodology
Instructor-led sessions with domain experts
Hands-on workshops using real datasets
Group simulations of AV incident investigations
Interactive discussions with legal and tech advisors
Practical assessments and module-based quizzes
Register as a group from 3 participants for a Discount
Upon successful completion of this training, participants will be issued with a globally- recognized certificate.
Tailor-Made Course
We also offer tailor-made courses based on your needs.
Key Notes
a. The participant must be conversant with English.
b. Upon completion of training the participant will be issued with an Authorized Training Certificate
c. Course duration is flexible and the contents can be modified to fit any number of days.
d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.
e. One-year post-training support Consultation and Coaching provided after the course.
f. Payment should be done at least a week before commence of the training, to FINESKILL TRAINING CENTER account, as indicated in the invoice so as to enable us prepare better for you.