Self Driving Car Engineer with Mercedes-Benz, Waymo, Nvidia
Self-Driving Cars Principles, Computer Vision, Deep Learning, Sensor Fusion, Object Detection, 3D Object Detection, Localization, Scan Matching Localization, Motion Planning, Decision Making for Autonomous Vehicles, Control and Trajectory Tracking
ABOUT THIS NANODEGREE
If you want to shape the future of modern transportation and, in consequence, impact the lives of people all over the world, Self Driving Car Engineer course has been tailored just for you.
First, you will learn how to apply computer vision and deep learning to automotive problems. You will be part of the team working on detecting lane lines and predicting steering angles. You will be introduced to driverless car technologies and take part in various projects in computer vision, localization, path planning, robotic controls, etc. The experts in the field will show you the relevance of sensor fusion and explain how to program fundamental mathematical tools called Kalman filters. You will also have a unique chance to program Carla – a famous Udacity’s real self-driving car.
The course takes around 6 months to complete. To enroll, you should have experience with Linear Algebra, Python, C++, and Calculus.
SELF DRIVING CARS NANODEGREE BENEFITS
The Self-Driving Vehicle Engineer Nanodegree programme is one of the few in the world that teaches students how to become self-driving car engineers while also assisting them in getting employment in the field of autonomous systems. The program’s projects provide students with important abilities in a variety of critical areas such as computer vision, sensor fusion, localization, motion control, and others. Students can execute their programmes on the open source simulator CARLA as part of their capstone project.
WHAT JOBS WILL THIS PROGRAM PREPARE YOU FOR?
Our broad curriculum will prepare you for a wide range of positions in the autonomous vehicle sector, including System Software Engineer, Deep Learning Engineer, Vehicle Software Engineer, Localization and Mapping Engineer, and many more. If you decide to pursue a career outside of automotive engineering, your background in deep learning and robotics will prepare you for a variety of related positions in artificial intelligence, computer vision, machine learning, and other fields.
WHO IS THIS PROGRAM FOR?
This advanced Nanodegree programme is excellent for anybody with a programming, technical, or quantitative background who wants to work in the field of autonomous systems, or who is interested in to refresh or expand their abilities in machine and deep learning, systems integration, sensor fusion, and other fields.
PREREQUISITES FOR SELF DRIVING CAR ENGINEER NANODEGREE
A well-prepared learner will be able to do the following:
- Object-oriented programming in any language (preferably Python or C++)
- Compute integrals and derivatives of polynomial functions
- Multiply matrices and comprehend linear algebra-related concepts.
- Calculate a dataset’s mean, median, and standard deviation.
- Model the effects of forces on point masses
AI is one of the fastest-growing and most transformational technologies of our time, with 2.3 million new jobs opening up by 2020.
This Nanodegree is highly recommended by Mercedes-Benz for those who’d like to become a part of their Autonomous Systems team.
For those students who currently have a limited background in programming, math, computer vision, or machine learning, we recommend Introduction to Self-Driving Cars Nanodegree Program to help them prepare.
The top Autonomous Systems and Self Driving Cars courses are offered by Udacity – the pioneer in professional teaching of this exciting discipline.
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