The world has witnessed the impact of artificial intelligence (AI) in diverse applications. AI in transportation has birthed the possibility of self-driven vehicles(with less or no human intervention). These autonomous vehicles offer mind-blowing driving experiences, including road safety, especially in populous nations. In 2022, the global autonomous vehicle market rose to $129.16 billion.
Evaluated by analysts to successively grow at a CAGR (Compound annual growth rate) of 38.8%. The government is strengthening the global expansion of autonomous vehicles. Therefore, there’s money to be made as a software engineer. Hence the need for solid training to establish you along this line.
The AI system in autonomous vehicles embodies special features (like environmental awareness, behavior decision-making, direction planning, and movement control) for accurate navigation and dodging other objects in their path. These are the brainchild of developers/engineers. Therefore, this article will do you a great favor as we review the Best 5 Autonomous Vehicles Courses (2023) to gain footing on relevant skills for autonomous car development.
Table of Contents
- Top 5 Autonomous Vehicles Courses in 2023
Top 5 Autonomous Vehicles Courses in 2023
The best five courses to kickstart your career in autonomous vehicle development are:
Introduction To Self-driving
The Self-Driving Car Engineer Nanodegree program is an introductory platform curated by a team of experts. It prepares you to venture into the realm of autonomous vehicles. Comprising seven courses, along with eight project-based exercises, this program offers a well-rounded understanding of the subject. Guided by course developer Cezanne Camacho and instructor Andrew Paster. You’ll engage with this comprehensive program over four months, dedicating about 10 hours per week.
Participation prerequisites include basic programming skills, a good grasp of algebra, and the ability to read and modify code with a sound understanding. The program content steers you towards mastering several key skills, including:
- Bayesian thinking.
- Object-oriented programming with matrices.
- Linear algebra.
- Convert Python programs into C++.
- Develop accurate C++ codes.
- Manage complex data structures.
Other learning objectives encompass calculus, Python visualization, and the application of machine language to facilitate computer vision. To ensure your learning journey is smooth, the program provides expert project reviews with personalized, prompt feedback and round-the-clock technical support with immediate responses to queries.
Here, you’ll learn the core of C++, a high-performance programming language. C++ is the core mechanism for self-driving cars. You will execute five projects here and ultimately build a multi-threaded traffic simulator and also code your own C++ software. Your guides on this journey will be instructors Stephen Welch and Andreas Haja, with a commitment of 10 hours per week over a period of four months.
This program assumes participants have a moderate understanding of any programming language. Throughout the program, you’ll immerse yourself in:
- The core aspects of C++.
- Object-Oriented Programming (OOP).
- Creating templates and resources for object-oriented C++ programs.
- Deploy OOP concepts to craft your own C++ application.
The program is designed to facilitate a seamless learning experience by offering expert reviews and feedback. It also provides 24/7 technical support and ensures timely responses to learners’ questions.
Self-driving Car Engineering
In this comprehensive self-driving car engineering, you will delve into the industrial practices employed by leading global technology teams. Harnessing the power of deep learning to train vehicles to perceive and navigate their environment. The curriculum comprises five courses and six projects, all designed to equip you with cutting-edge skills.
Guided by Professor Andreas Haja and a team of expert engineers and developers. You will commit approximately 10 hours per week over a span of five months. The program expects participants to have the ability to build object-oriented programs, ideally in Python or C++, and a firm grasp of polynomial functions, multiple matrices, and statistics.
Throughout the duration of the program, you are going to:
- Process digital images.
- Construct neural networks for object detection.
- Deploy sensor fusion for 3D detection.
- Integrate camera with sensor detection.
- Localize a simulated car using lidar sensing.
- collaborate with the Mercedes-Benz Vehicle Intelligence team.
By the program’s end, you’ll have learned to control a car via throttling and steering along a desired trajectory. To ensure an enriched learning experience, the program offers practical tips on industrial practices, 24/7 technical support, and real-world projects designed by industry experts.
Become A Robotic Engineer
In this engaging program, you’ll embark on a journey into the world of robotics software engineering. By applying the ROS framework and C++, you’ll gain hands-on experience in programming robots for localization, mapping, and navigation. The curriculum is composed of six comprehensive courses and five hands-on projects.
Under the guidance of Sebastian Thrun, you’ll spend 10-15 hours per week over four months diving into robotics. The program prerequisites include familiarity with:
- Basic Linux Command Lines.
- Competency in Calculus.
- Linear algebra.
- Object-oriented programming language ie, C++.
The program begins with an introduction to robotics, where you’ll learn to simulate your first robotic environment with the tool, Gazebo. As you delve deeper, you’ll develop robots in a modular and reusable manner with ROS. The program culminates in combining SLAM and Navigation for practical planning and navigation.
How To Become A Sensor Fusion Engineer
Here on how to become a sensor fusion engineer, you’ll immerse yourself in the study of 3D environmental perception. This will equip you with the skills to detect obstacles and accurately track objects by fusing lidar point clouds. Spread across four distinct courses, the program offers four experiential projects for an in-depth understanding of the subject.
Led by an expert team of instructors, including Andreas Haja, Abdullah Zaidi, Aaron Brown, and Stephen Welch. You will navigate through the program over a span of four months, dedicating approximately 10 hours per week. The learning journey begins with using Lidar data to detect other vehicles on the road.
As the program unfolds, you’ll learn to:
- Project camera images in 3D, fusing them with Lidar data to classify objects.
- Interpret radar signals to detect and track objects.
- Fusing all data with Kalman filters to track non-linear movement.
Autonomous vehicles are valuable inventions but still developing. The future of transportation is seemingly intertwined with the advancement of autonomous vehicles. These technological marvels, harnessing the power of AI and sophisticated sensor systems, have the potential to revolutionize how we commute, augmenting safety and efficiency while reducing human error.
However, the path toward a fully autonomous future is not without challenges. Legislative hurdles, ethical considerations, infrastructure upgrades, and public acceptance are substantial obstacles to be navigated.