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AI (Artificial Intelligence)

AI (Artificial Intelligence) Programs

Program Details

  • REF:AI-1
  • PROGRAM:Edge AI for Automotive Applications
  • Price: Fast Track: $595 Workshop: $1149 Module: $2495 Fully paid by the NCAE-C program, free to you
  • Pre-Register

Program Overview

This training will equip participants with essential skills and knowledge to address cybersecurity challenges in the automotive industry. This program offers a comprehensive introduction to securing modern vehicles, which increasingly rely on connected systems and advanced technologies that are vulnerable to cyber threats.

Program Types

Objectives

  1. Discuss the principles and applications of edge AI in automotive and transportation.
  2. Describe the process for designing, developing, and deploying edge AI systems that are efficient, secure, and scalable.
  3. Assess and mitigate cybersecurity risks associated with edge AI deployments
  4. Describe and discuss industry-standard tools and platforms for edge AI development, such as OpenVINO, NVIDIA DeepStream, and Edge Impulse, enabling rapid prototyping and deployment.

Schedule

Start Date End Date Days Times
5/6/25 5/8/25 T W R 8:00a - 10:40a
7/15/25 7/17/25 T W R 3:00p - 5:40p

Objectives

  1. Discuss the principles and applications of edge AI in automotive and transportation.
  2. Design, develop, and deploy edge AI systems that are efficient, secure, and scalable.
  3. Assess and mitigate cybersecurity risks associated with edge AI deployments
  4. Solve real-world challenges in creating smarter, safer, and more secure transportation ecosystems
  5. Describe and discuss industry-standard tools and platforms for edge AI development, such as OpenVINO, NVIDIA DeepStream, and Edge Impulse, enabling rapid prototyping and deployment

Schedule

Start Date End Date Days Times
5/6/25 5/15/25 T W R 8:00a - 10:40a
7/15/25 7/24/25 T W R 3:00p - 5:40p

Objectives

  1. Discuss the principles and applications of edge AI in automotive and transportation.
  2. Design, develop, and deploy edge AI systems that are efficient, secure, and scalable.
  3. Assess and mitigate cybersecurity risks associated with edge AI deployments
  4. Solve real-world challenges in creating smarter, safer, and more secure transportation ecosystems
  5. Describe and discuss industry-standard tools and platforms for edge AI development, such as OpenVINO, NVIDIA DeepStream, and Edge Impulse, enabling rapid prototyping and deployment
  6. Process and analyze data from sensors such as cameras, LiDAR, radar, and IoT devices in real time, ensuring efficient decision-making for safety-critical applications.
  7. Discuss regulatory requirements and ethical challenges surrounding AI and cybersecurity in automotive and transportation, including privacy, data protection, and safety standards.

Schedule

Start Date End Date Days Times
5/6/25 5/29/25 T W R 8:00a - 10:40a
7/15/25 8/7/25 T W R 3:00p - 5:40p

Program Details

  • REF:AI-2
  • PROGRAM:Introduction of Adversarial Machine Learning
  • Price: Fast Track: $595 Workshop: $1149 Module: $2495 Fully paid by the NCAE-C program, free to you
  • Pre-Register

Program Overview

This Fast Track Training focuses on the field of adversarial machine learning. We will explore the vulnerabilities of machine learning models to malicious attacks and investigate techniques to defend against them.

Program Types

Objectives

  1. Understand the fundamental concepts of adversarial machine learning and its implications
  2. Analyze different types of adversarial attacks and their impact on machine learning models
  3. Apply knowledge of adversarial machine learning to vehicle applications and services

Schedule

Start Date End Date Days Times
7/2/25 7/10/25 W R 7:00p - 9:00p
7/15/25 7/17/25 T W R 8:00a - 10:40a

Program Details

  • REF:AI-3
  • PROGRAM:Autonomous Vehicle Fast Track Training
  • Price: Fast Track: $595 Workshop: $1149 Module: $2495 Fully paid by the NCAE-C program, free to you
  • Pre-Register

Program Overview

This training will give participants with an overview of Autonomous Vehicles. This program offers a comprehensive introduction to escential components (including hardware and software) contribute to Autonomous Vehicles and their development history.

Program Types

Objectives

  1. Introduce basic concepts in autonomous vehicles: This includes the definition of autonomous vehicles, their development history, their needs and impact, key components, and current industry overview.
  2. Have an overview of hardware in autonomous vehicles: Including V2X, sensors, computing platforms, and drive-by-wire systems.
  3. Introduce and briefly explain the algorithms in autonomous vehicles: Including perception, localization, and decision-making algorithms.
  4. Compare testing techniques of autonomous vehicles: Including simulation tools, testing frameworks, and methodologies.
  5. Describe hot topics in the autonomous vehicle field: Including security and privacy, safety and efficiency, and ethical concerns.

Schedule

Start Date End Date Days Times
7/16/25 7/16/25 Saturday 9:00a - 5:00p

Program Details

  • REF:AI-4
  • PROGRAM:Indoor Connected and Autonomous Testbed
  • Price: Fast Track: $595 Workshop: $1149 Module: $2495 Fully paid by the NCAE-C program, free to you
  • Pre-Register

Program Overview

Indoor autonomous driving testbeds have emerged to complement expensive outdoor testbeds and virtual simulations, offering scalable and cost-effective solutions for research in navigation, traffic optimization, and swarm intelligence. Indoor Connected and Autonomous Testbed (ICAT) is a platform that not only tackles the unique challenges of indoor autonomous driving but also help students know about the basic autonomous driving technologies.

Program Types

Objectives

  1. Introdcue basic ROS-based robotic functions.
  2. Describe fundamental autonomous driving technologies.
  3. Explain the planning and control algorithms.
  4. Analysis the connected and digital technologies in ICAT.

Schedule

Start Date End Date Days Times
4/20/25 4/20/25 Saturday 9:00a - 5:00p

Program Details

  • REF:AI-5
  • PROGRAM:Mobile Robot Programming
  • Price: Fast Track: $595 Workshop: $1149 Module: $2495 Fully paid by the NCAE-C program, free to you
  • Pre-Register

Program Overview

This course introduces the basics of Robot Operating System (ROS) and its applications in controlling robots. Students will gain practical experience with open-source autonomous driving algorithms and indoor testbeds. The focus will be on experimenting with perception, planning, and control algorithms used in mobile robotics.

Program Types

Objectives

  1. Introduce the structure and functionality of the Robot Operating System (ROS). Enable students to control simple robots using ROS and Twist Messages.
  2. Explain machine learning perception algorithms to control robots. Enable students to implement path planning algorithms to guide autonomous robots.
  3. Have a experience with state-of-the-art autonomous driving platforms, including the UD CAR Lab ICAT and D-STAR BlueICE systems.

Schedule

Start Date End Date Days Times
6/1/25 7/20/25 Saturday 2:00p - 6:00p

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