Training Programs

AI and Cybersecurity

AI and Cybersecurity Programs

Program Details

Program Overview

This workshop introduces various cybersecurity best practices related to autonomous vehicle generated or related data. The focus of the course is centered on autonomous ground vehicles, with examples and case studies drawn from a range of mobile robotic devices and passenger or cargo transport vehicle sizes, applications, and complexities. The course includes presentations, reading assignments, analyses of case studies, discussion board participation, and quiz assessments. Participants should expect to commit 16 hours through an asynchronous online expert facilitated offering to successfully complete the course.

Program Types

Workshop 16 Contact Hours

Objectives

Identify primary autonomous ground vehicle cybersecurity and related data management or protection best practices.
Describe viable autonomous ground vehicle cybersecurity data management approaches for various case study examples.
Explore and discuss appropriate actions to take when protecting data from autonomous ground vehicle cybersecurity threats.

Schedule

Start Date	End Date	Days	Times

Program Details

Program Overview

This module explores autonomous vehicle cybersecurity considerations including threats, mitigations, best practices, tools, resources, education and training opportunities, and exemplar industry, academic, and government leaders. The focus of the course is centered on autonomous ground vehicles, with examples and case studies drawn from a range of vehicle users, types, applications, and complexities. The course includes presentations, reading assignments, analyses of case studies, discussion board participation, and quiz assessments. Participants should expect to commit 32 hours through an asynchronous online expert facilitated offering to successfully complete the course.

Program Types

Module 32 Contact Hours

Objectives

Identify primary autonomous ground vehicle cybersecurity and related data management or protection best practices.
Identify tools, resources, and education and training opportunities relevant to autonomous ground vehicle cybersecurity.
Explore and discuss primary autonomous ground vehicle cybersecurity threats, mitigations, and data management considerations when analyzing various case study examples.
Define how exemplar leading industry, academic, and government cybersecurity organizations can be leveraged to improve autonomous ground vehicle cybersecurity outcomes.

Schedule

Start Date	End Date	Days	Times

Program Details

Program Overview

This training explores the security challenges and solutions in AI for automotive applications. Participants will learn about common security issues in AI systems for autonomous vehicles, including adversarial attacks, data privacy, and model vulnerabilities. The course covers recent research and advancements in AI security, providing insights into emerging threats and protective measures. Through a mix of theory and practical case studies, attendees will gain the skills to identify risks, assess current security practices, and apply effective techniques to improve the safety and reliability of AI systems in automotive technologies.

Program Types

Workshop 16 Contact Hours

Objectives

Introduce the basics of autonomous vehicles, focusing on key components and the current industry landscape.
Describe common security challenges in AI systems, particularly for autonomous vehicles
Compare recent research and developments in AI security for automotive applications.
Analyze vulnerabilities in AI systems and discuss solutions using case studies and practical exercises.

Schedule

Start Date	End Date	Days	Times
5/6/25	5/8/25	T R	9:00a - 5:00p
5/20/25	5/22/25	T R	9:00a - 5:00p

Program Details

Program Overview

As autonomous driving technology advances, ensuring system security is vital. Autonomous vehicles rely on a complex network of sensors, communication systems, and algorithms for navigation and decision-making, which introduces various cybersecurity risks that must be addressed to ensure safety and reliability. Welcome to the course on Security in Autonomous Driving and Navigation. This course provides a comprehensive understanding of the security challenges and solutions associated with autonomous vehicles and their navigation systems, with a focus on introducing the latest technologies, algorithms, schemes and hardware modules and devices in relevant fields.

Program Types

Module 32 Contact Hours

Objectives

Describe autonomous driving technology and its security challenges.
Identify and analyze cybersecurity threats specific to autonomous vehicles.
Apply security protocols and techniques to protect autonomous driving systems.
Develop risk management strategies to mitigate cybersecurity risks in autonomous vehicles.
Discuss future trends and challenges in the field of autonomous driving security.

Schedule

Start Date	End Date	Days	Times
5/17/25	6/12/25	M R	6:00p - 8:00p

Program Details

Program Overview

This course will explore the critical aspects of vehicle user authentication, a rapidly evolving field with significant implications for safety, security, and privacy in modern transportation systems. In this Fast Track Training, we will review existing authentication methods such as memory-based and biometric-based authentication methods and introduce their applications in vehicle user authentication.

Program Types

Fast Track 8 Contact Hours

Objectives

Evaluate the strengths and weaknesses of different authentication methods
Analyze the security, privacy, and ethical implications of different authentication methods
Identify authentication methods for different vehicle applications

Schedule

Start Date	End Date	Days	Times
6/4/25	6/13/25	W R	7:00p - 9:00p
6/17/25	6/19/25	T W R	8:00a - 10:40a

AI and Cybersecurity