Certificate Programme in Autonomous Vehicle Regression
-- viewing nowThe Certificate Programme in Autonomous Vehicle Regression is a comprehensive course designed to equip learners with essential skills for career advancement in the rapidly evolving field of autonomous vehicles. This programme focuses on the critical area of regression testing, which ensures the reliability and safety of self-driving vehicles.
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Course details
• Unit 1: Introduction to Autonomous Vehicles & Regression Testing – Understanding the basics of autonomous vehicles, regression testing, and their interconnection.
• Unit 2: Sensor Technologies in Autonomous Vehicles – Exploring various sensors like LIDAR, radar, and cameras used in autonomous vehicles.
• Unit 3: Data Processing & Computer Vision Algorithms – Examining data processing techniques and computer vision algorithms for object detection and environment understanding.
• Unit 4: Autonomous Vehicle Systems Architecture – Learning about the software and hardware architecture of self-driving vehicles.
• Unit 5: Regression Testing Methodologies – Delving into the different methodologies for regression testing in autonomous vehicle systems.
• Unit 6: Test Automation Frameworks & Tools for Autonomous Vehicles – Familiarizing with frameworks and tools to automate testing in autonomous vehicle systems, such as Robot Framework and Selenium.
• Unit 7: Safety & Security Requirements for Autonomous Vehicles – Comprehending the safety and security requirements and their impact on regression testing.
• Unit 8: Scenario-based Testing in Autonomous Vehicles – Mastering the art of creating scenario-based tests for various driving situations.
• Unit 9: Simulation & Emulation Environments for Autonomous Vehicles – Understanding the importance of simulation and emulation environments for testing and regression.
• Unit 10: Best Practices & Challenges in Autonomous Vehicle Regression Testing – Exploring best practices and common challenges in regression testing for autonomous vehicles.
Career path
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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