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Top Online Autonomous Car Courses to Take Up in 2021

Top Online Autonomous Car Courses to Take Up in 2021

Many EdTech platforms are coming up with online autonomous car courses in 2021

The automotive industry has undergone a massive evolution in the past two centuries. In just 200 years, traveling has moved from bullock carts to autonomous cars. If we compare this time frame and the pace of change with other sectors, it will surely leave us in awe. Moving ahead, humankind is expecting a big turnaround in the self-driving car industry. A forecast suggests that by 2025, there will be approximately 8 million autonomous vehicles or semi-autonomous cars on the road. Before merging onto roadways, the self-driving car industry will undergo a massive boom. It will eventually drag up the demand for autonomous car professionals like system software engineers, perception software engineers, deep learning engineers, vehicle software engineers, strategic account managers, field service technicians, industrial engineers, etc. Therefore, many edtech platforms are also coming up with online autonomous car courses in 2021. These autonomous car courses cover everything starting from the basics of autonomous vehicles to the technical complexity of their automation. Analytics Insight has listed the top 7 online autonomous car courses that aspirants should take up now.

Autonomous Cars: Deep Learning and Computer Vision in Python at Udemy

Autonomous Cars: Deep Learning and Computer Vision in Python aims to provide students with knowledge of key aspects of the design and development of self-driving vehicles. The course teaches students with practical experience in various self-driving vehicle concepts such as machine learning and computer vision. Besides, other underlying controversial topics like lane detection, traffic sign classification, object or vehicle detection, and others are also discussed. Some of the tools covered in the course include OpenCV, deep learning, artificial neural networks, convolutional neural networks, template matching, HOG features, Tensorflow, Keras, linear and logistic aggressions, and decision tree.

Apply here for the course.

Self-Driving Car Specialization at Coursera

The self-driving car specialization course gives students a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry. Students will also get to interact with real datasets from an autonomous vehicle. Throughout the course, students will hear from industry experts who work at companies like Oxbotica and Zoox as they share insights about autonomous technology and how that is powering job growth within the field. The course also provides a realistic driving environment that features 3D pedestrian modeling and environmental conditions. When students complete the course, they will be able to build their own autonomous driving stack and be ready to apply for jobs in the autonomous vehicle industry.

Top Online Autonomous Car Courses to Take Up in 2021

Apply here for the course.

The Complete Self-Driving Car Course- Applied Deep Learning at Udemy

By taking up this complete self-driving course, students can get to build a fully functional self-driving car filed entirely by deep learning. The course teaches students how to use computer vision techniques via OpenCV to identify lane lines for a self-driving car. Students can also get to learn how to train perceptron-based neural networks to classify between binary classes and convolutional neural networks to identify between various traffic signs. The course aims to master students with Keras, a power neural network library written in Python. Since most of the concepts in the course are very technical, it demands students to have an interest in deep learning and self-driving cars.

Apply here for the course.

Autonomous Cars: How Do They Work and Impact Us? At Udemy

This autonomous car course covers all aspects a person needs to know about autonomous driving, self-driving, driverless, and robot cars. Besides giving technical knowledge, this course generally aims to provide interested people an exciting insight into the race to autonomous cars and prepare them for what’s coming. Each video is made in simple English, leaving deep technical terms and explanations. Therefore, anyone with general education can follow up on the developments.

Apply here for the course.

Intro to Self-Driving Cars at Udacity

Intro to self-driving cars provided by Udacity helps students work on self-driving car problems using Python, C++, matrices, and calculus in code, and computer vision and machine learning. The four-month course gets you hooked up to the screen for approximately 10 hours a week. Since it is a professional course that discusses the deep mechanism of self-driving cars, it demands students to be comfortable reading and modifying code.

Apply here for the course.

Multi-Object Tracking for Automotive Systems at edX

By taking up the course, students will learn how to localize and track dynamic objects with a range of applications including autonomous vehicles. The course aims to teach students the fundamentals of multi-object tracking for automotive systems. Key elements of the course include description and understanding of common sensors and motion models, principles underlying filters that can handle a varying number of objects, and a selection of the main multi-object tracking (MOT) filters.

Apply here for the course.

Self-Driving Car Engineer at Udacity

The nano degree providers very well know that a fusion of cutting-edge robotics, machine learning, and engineering are the core substances of autonomous cars. Therefore, they try to teach students the techniques that power self-driving cars across the full stack of a vehicle’s autonomous capabilities. Using deep learning with radar and lidar sensor fusion, students will train the vehicle to detect and identify its surroundings to inform navigation. Students also get to learn the skills and techniques used in the disruptive concept from advanced technology companies in the world. The course also teaches in-depth concepts like computer vision, sensor fusion, localization, planning, control, etc.

Apply here for the course.

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