Certified Autonomous Driving Software Engineer
Instructor-led training in Certified Autonomous Driving Software Engineer. Delivered live online by senior practitioners, with hands-on labs and a final assessment. Includes an Skilvi course-completion certificate.
Overview
The Certified Autonomous Driving Software Engineer course equips participants with the essential skills and knowledge required to develop software for autonomous vehicles. This course is crucial as the automotive industry continues to evolve rapidly towards automation, making skilled engineers in high demand.
What you'll learn
- You will be able to design and implement software architectures for autonomous driving systems.
- You will be able to apply machine learning algorithms to interpret sensor data effectively.
- You will be able to develop and test perception algorithms for object detection and tracking.
- You will be able to integrate and manage various sensors, including LIDAR, cameras, and radar.
- You will be able to implement navigation and path planning techniques for autonomous vehicles.
- You will be able to utilize simulation tools for validating and verifying autonomous driving software.
- You will be able to understand and apply safety and regulatory standards in autonomous vehicle development.
Curriculum
7 modules · outline is indicative and can be tailored to your team.
1Introduction to Autonomous Driving
- Overview of autonomous vehicle technology
- Levels of automation
- Key components of autonomous systems
2Sensor Technologies
- Types of sensors used in autonomous vehicles
- Sensor fusion techniques
- Calibration and validation of sensors
3Perception Systems
- Computer vision fundamentals
- Object detection and classification
- Tracking and scene understanding
4Machine Learning for Autonomous Driving
- Supervised vs. unsupervised learning
- Neural networks and deep learning applications
- Data collection and preprocessing techniques
5Navigation and Path Planning
- Algorithms for route planning
- Dynamic path planning techniques
- Handling obstacles and traffic scenarios
6Testing and Validation
- Simulation environments and tools
- Testing methodologies for autonomous systems
- Safety and compliance considerations
7Regulatory and Safety Standards
- Overview of global regulations
- Safety frameworks in autonomous driving
- Ethical considerations in autonomous vehicle development
Prerequisites
No prior experience required.
Who should attend
This course is designed for software engineers and developers interested in the automotive and embedded systems sectors.
Certification
Frequently asked questions
What is the delivery format of this course?
The course is delivered instructor-led in a live-online format.
How long is the course?
The course typically spans 8 weeks, with one session per week.
Will I receive a certificate upon completion?
Yes, participants will receive an Skilvi course-completion certificate.
Are exam vouchers included?
Exam vouchers are available through authorized channels on request.
What are the prerequisites for this course?
No prior experience required.
Pricing on request
- Live online (VILT)
- 24–32 hours
- Hands-on labs & assignments
- Skilvi completion certificate
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