From a skills standpoint, the Intro to Self-Driving Cars Nanodegree program is an intermediate level program; one that focuses on teaching you the skills necessary to build a foundation in self-driving cars. You are expected to know how to program, but you are not expected to have experience with algorithmic programming or robotics systems. You are expected to have a mathematical understanding up to algebra, and be ready to learn calculus and linear algebra notation. The only sense in which you might consider this a "beginner" program is that it's for learners new to self-driving cars!
Articles in this section
- Which version of TensorFlow, Keras, ROS, and C++ are taught in this program?
- What software and versions will I need in this program?
- I have graduated from the Intro to Self-Driving Cars nanodegree program but I want to keep learning. Where should I go from here?
- Can I switch my start date? Can I get a refund?
- How long is this Nanodegree program?
- How is this Nanodegree program structured?
- If I do not meet the requirements to enroll, what should I do?
- What are the prerequisites for enrollment?
- Do I need to apply? What are the admission criteria?
- What is the difference between the Intro to Self-Driving Cars Nanodegree program and the Self-Driving Car Engineer Nanodegree program?