❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [May 25th, 2023]

This free robotics tutorial is designed to introduce students to the exciting world of robotics and autonomous car design. Students will learn the fundamentals of robotics and engineering, as well as how to create their own self-driving wheeled robot.

The course begins with an introduction to robotics and engineering, covering topics such as the history of robotics, the different types of robots, and the components of a robot. Students will then learn about the basics of autonomous car design, including the sensors, actuators, and control systems used in autonomous vehicles.

Next, students will learn how to design and build their own self-driving wheeled robot. They will learn how to program the robot to move, sense its environment, and make decisions. They will also learn how to use sensors to detect obstacles and how to use actuators to control the robot’s movements.

Finally, students will learn how to test and debug their robot, as well as how to troubleshoot any issues that may arise. They will also learn how to use the robot to complete tasks such as navigating a maze or following a line.

At the end of the course, students will have a working knowledge of robotics and autonomous car design, as well as the skills to create their own self-driving wheeled robot. They will also have the confidence to troubleshoot and debug any issues that may arise.

[Applications]
After completing this course, students can apply their knowledge to create their own autonomous car designs. They can also use their understanding of robotics and engineering to develop other robotic projects, such as robotic arms, drones, and other automated systems. Additionally, they can use their newfound knowledge to pursue further studies in robotics and engineering.

[Career Paths]
1. Robotics Engineer: Robotics engineers design, build, and maintain robots and robotic systems. They use their knowledge of engineering principles, mathematics, and computer science to develop robots that can perform a variety of tasks. Robotics engineers are in high demand as the technology advances and more industries adopt robotics.

2. Autonomous Vehicle Engineer: Autonomous vehicle engineers are responsible for designing, developing, and testing self-driving cars. They must have a strong understanding of robotics, computer science, and engineering principles. Autonomous vehicle engineering is a rapidly growing field as the technology advances and more companies invest in self-driving cars.

3. Artificial Intelligence Engineer: Artificial intelligence engineers are responsible for developing and implementing AI algorithms and systems. They must have a strong understanding of computer science, mathematics, and engineering principles. AI engineering is a rapidly growing field as more companies invest in AI technology.

4. Robotics Technician: Robotics technicians are responsible for maintaining and repairing robots and robotic systems. They must have a strong understanding of robotics, engineering principles, and computer science. Robotics technicians are in high demand as the technology advances and more industries adopt robotics.

[Education Paths]
1. Robotics Engineering Degree: Robotics engineering is a field of engineering that focuses on the design, construction, operation, and application of robots. It combines elements of mechanical engineering, electrical engineering, computer science, and artificial intelligence. Robotics engineering is a rapidly growing field, with the potential to revolutionize many industries.

2. Autonomous Vehicle Engineering Degree: Autonomous vehicle engineering is a field of engineering that focuses on the design, construction, operation, and application of autonomous vehicles. It combines elements of mechanical engineering, electrical engineering, computer science, and artificial intelligence. Autonomous vehicle engineering is a rapidly growing field, with the potential to revolutionize the transportation industry.

3. Artificial Intelligence Degree: Artificial intelligence (AI) is a field of computer science that focuses on the development of intelligent machines that can think and act like humans. AI is a rapidly growing field, with the potential to revolutionize many industries. An AI degree will teach students the fundamentals of AI, including machine learning, natural language processing, and computer vision.

4. Computer Science Degree: Computer science is a field of study that focuses on the design, construction, and application of computer systems. It combines elements of mathematics, engineering, and artificial intelligence. Computer science is a rapidly growing field, with the potential to revolutionize many industries. A computer science degree will teach students the fundamentals of computer science, including programming, algorithms, and data structures.