Connected & Automated Vehicles

Accelerate toward the future of transportation.

Online Courses

Backed by the University of Michigan

About

Connected and automated vehicles are transforming transportation systems, promising safer, more efficient, and more sustainable mobility. Whether you’re a professional in the field or simply interested in the future of transportation, understanding the technical, social, and behavioral aspects of this technology is essential. The Connected and Automated Vehicle (CAV) program provides comprehensive insights into the challenges and opportunities in this rapidly evolving domain.

This online, self-paced program includes three engaging courses. Adversarial Machine Learning explores the robustness of machine learning models in safety-critical systems. Dynamics and Control of Connected Vehicles focuses on modeling, control, and system stability. Social and Behavioral Implications of Autonomous Vehicles and Services examines societal impacts and challenges.

Learning Objectives

  • Understand the technical, social, and behavioral challenges associated with the development and deployment of connected and automated vehicles.
  • Analyze and address the robustness of machine learning models in safety-critical applications, including strategies for defending against adversarial attacks.
  • Apply fundamental principles of vehicle dynamics and control to design and evaluate systems that improve stability, safety, energy efficiency, and mobility in connected vehicle networks.
  • Assess the societal and behavioral implications of deploying autonomous vehicles, including equity, accessibility, and new safety challenges.
  • Develop a comprehensive understanding of the integration of machine learning, vehicle control, and societal considerations to address real-world challenges in connected and automated vehicle systems.
  • Prepare for advancements in transportation by designing solutions that balance technological innovation with societal impact and safety considerations.

Program Overview

The program is fully online and self-paced. Learners can complete each individual course to earn a badge or complete all 3 courses to earn a program certificate.

Each course contains 4-6 hours of online instruction. Individual courses must be completed within 60 days. If completing the full CAV program, all courses must be purchased together and completed in 180 days.

Who Should Attend

The Connected and Automated Vehicle program is ideal for:

  • Automotive engineers
  • Automotive researchers
  • Data scientists in the mobility space
  • Design engineers
  • Software engineers
  • Vehicle safety specialists
  • Technology strategists

Courses

FULL PROGRAM

Location: Online
Schedule: Self-paced

Course

Adversarial Machine Learning

Course

Dynamics and Control of Connected Vehicles

Course

Social and Behavioral Implications of Autonomous Vehicles and Services

Credentials

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Digital Badge

Digital badge earned after successful completion of each course.

Digital Certificate

Certificate will be awarded upon successful completion of the program.

Instructional Team

Atul Prakash, PhD

  • Professor, Electrical and Computer Science

Gabor Orosz, PhD

  • Assistant Professor, Mechanical Engineering

James Sayer, PhD

  • Director, U-M Transportation Research Institute (UMTRI)

What's next?

Course

Organizational Design

Course

Transformative Leadership

Get Started

For more information or answers to any questions please email [email protected] or fill out the form.