Introduction to Self-driving cars Prerequisites

https://www.coursera.org/learn/intro-self-driving-cars/home/welcome

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Course Prerequisites

This is an advanced course, intended for learners with a background in mechanical engineering, computer and electrical engineering, or robotics.

Knowledge Prerequisites

To succeed in this course, you should have the following knowledge prerequisites:

• intermediate programming experience in Python 3
• familiarity with linear algebra (matrices, vectors, matrix multiplication, rank, eigenvalues and vectors, and inverses)
• statistics (Gaussian probability distributions)
• multivariate calculus
• physics (forces, moments, inertia, Newton's laws)

It’s certainly helpful to know how to drive a car, but it's not a hard requirement for this course.

If you don’t have these necessary knowledge prerequisites, no sweat. There are excellent Robotics, AI, Deep Learning, Computer Vision, Controls and other courses that you can take on Coursera to prepare you for this Specialization.

If you don't have the necessary Python prerequisites, check out the Python for Everybody Specialization. If you have coding experience in another programming language, you should be able to complete this course (but may need to look up Python syntax as you go).

https://www.coursera.org/specializations/mathematics-machine-learning

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