Requires 42 to 48 hours of effort per week.
Complete 5+ projects designed to reflect industry standards and get access to Projects Plus
Engineering students, engineering graduates, or working professionals with a background in related fields.
Python, OpenCV, TensorFlow, Keras TensorFlow 2, ROS, Linux, GitHub, C/C++.
10+ industry relevant projects + projects guided by instructors.
The IEEE Brand continues to be recognized and respected throughout the world. IEEE will be providing CEU-PDH certificates for this course.
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Developments in computer vision algorithms have improved the automation of driving tasks, and powered advancements in autonomous vehicles forward. To get autonomous vehicles on the road, the job market is in need of engineers with a strong industrial command over AI/ML algorithms, relevant programming languages, operating systems, and camera systems.
This Specialization has nine courses that will give you the job ready skills needed to work in the industry. You will learn about machine learning algorithms, JAVA, Python, C++, and the operating systems involved in the development of computer vision technology for autonomous vehicles. In addition to this, you will get a basic understanding of camera systems, and how software and operating systems are interfaced with sensors to receive and interpret data inputs. This specialization will also explain the image processing techniques involved to make sense of visual inputs in autonomous vehicles.
The coursework in this specialization includes theoretical content, challenges, and more than 10 projects crafted to replicate industry standards. You will also collaborate with instructors to complete guided projects that demonstrate an industrial approach. After completing the coursework in this specialization, you will receive a certificate that demonstrates your job ready skills to secure core positions in the industry.
Our instructors have years of demonstrated experience working in the automotive engineering industry. Here’s a look at their areas of expertise.