Vehicle manufacturing has come a long way in the last two centuries. The transition from luggage trolleys to driverless automobiles occurred in barely 200 years. This period and the development rate will astonish everyone compared to other industries. The sector for autonomous vehicles will experience explosive growth just before they become commonplace on roads.
It will increase demand for independent car experts, including perception software engineers, system software engineers, vehicle software engineers, deep learning engineers, strategic account managers, industrial engineers, field service technicians, etc. As a result, numerous education technology platforms will provide online autonomous vehicle courses to their users. These classes educate students on every aspect of autonomous vehicles, from the fundamentals to the complex automation systems. The best online courses for how to drive an autonomous automobile have been ranked here.
- Autonomous Cars: Computer vision and Python Deep Learning
This course, Autonomous Cars: Computer Vision and Deep Learning in Python, is intended to teach students the fundamentals of autonomous vehicle research, development, and design. This course equips students with hands-on knowledge of self-driving vehicle topics like computer vision and machine learning.
Also presented are underlying contentious subjects like lane detection, traffic sign categorization, object or vehicle identification, and others. The course covers OpenCV, convolutional neural networks, artificial neural networks, deep learning, template matching, HOG features, Tensorflow, linear, Keras, logistic aggressions, and decision trees.
- Autonomous Vehicle Specialization
Students who enroll in the self-driving car track are familiar with the cutting-edge engineering techniques currently applied in the field. In addition, students will have the opportunity to work with real-world data collected by an autonomous car. Students will hear from industry leaders who work at firms about autonomous technology and how it drives job growth in the field.
In addition to providing a challenging driving experience, the course also simulates real-world traffic and weather conditions using 3D models of both. After completing the course, students can construct autonomous driving stacks and apply for self-sustaining car jobs.
- Autonomous Car Training
This comprehensive self-driving course teaches students how to use deep learning to design and construct an autonomous vehicle. In this course, you’ll learn how to build a self-driving car by utilizing computer vision techniques in OpenCV to detect lanes.
Students can also learn how to build convolutional neural networks to recognize traffic signs and perceptron-based neural networks to classify binary classes. The course teaches students how to effectively use Keras, a robust Python toolkit for building neural networks. Students must have a genuine enthusiasm for deep learning and autonomous vehicles to get the most out of this course.
- Autonomous Vehicle Motion Planning
The motion planning course will educate you on the fundamentals of autonomous driving planning, including topics like mission planning, behavior planning, and local planning. By the end of the course, you will have the knowledge and skills necessary to design a comprehensive planning solution for autonomous driving that will get you to and from work like a human driver would while avoiding hazards and following traffic laws.
Conclusion
This course on autonomous vehicles covers all an individual must know about autonomous driving, often known as driverless, self-driving, and robot cars. This course isn’t just about teaching students the ins and outs of autonomous vehicle technology; it’s also meant to excite and prepare students for what’s to come in this rapidly developing field.
