Typical admitted student: A bachelor's degree in engineering, computer science, or a related field with a minimum GPA of 3.0 is required; relevant technical background or prerequisites in programming and robotics may be preferred.

About This Program

This online professional development certificate provides an overview of the latest advancements in autonomous vehicle technologies and their impact on transportation.

Career Outcomes

Gain AI technology skills to advance as Computer Vision Engineer in Autonomous Vehicles

1. Autonomous Systems Engineer
2. ADAS Development Specialist
3. Vehicle Perception Engineer
4. Robotics Test Engineer

What You'll Learn

Design perception systems using sensors for environmental mapping
Implement path planning algorithms for safe vehicle navigation
Apply SAE automation levels to develop ADAS features
Program control systems for autonomous vehicle maneuvers
Evaluate safety protocols including minimum risk maneuvers

Curriculum Highlights

The program covers technical components of autonomous systems, regulatory requirements for safety, and the environmental and legal aspects of implementation.

Top Employers

Top employers include automotive companies like Ford, General Motors, Tesla, and tech firms such as Waymo and Cruise.

Admissions

A bachelor's degree in engineering, computer science, or a related field with a minimum GPA of 3.0 is required; relevant technical background or prerequisites in programming and robotics may be preferred.

Application Materials

Statement of Purpose: Required
Letters of Recommendation: 2–3
Resume: Required
Transcripts: Official transcripts required

Academic Requirements

Degree Required: Bachelor's degree
GRE/GMAT: Not Required
TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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