Question 1

Why should I enroll?

Accepted Answer

Self-driving cars are the future of smart transportation, and this introductory program is the perfect way to start your journey to a self-driving car career! This program enables anyone with minimal programming experience to learn the essentials of programming a self-driving car, from machine learning to object-oriented programming to probabilistic robotics. You will learn how to solve problems in both Python and C++ as you discover what makes self-driving cars possible.

Question 2

What jobs will this program prepare me for?

Accepted Answer

This program does not focus on job preparation. While many of the skills you learn are foundational skills for a career in self-driving cars, the goal of the program is for you to master the core skills necessary so you can progress to the advanced curriculum. When you graduate, you can enroll in the Self-Driving Car Engineer Nanodegree program, which will fully prepare you for a career in the field. If you are new to the field of self-driving cars, you can consider this a two-stage path to career readiness.

Question 3

How do I know if this program is right for me?

Accepted Answer

If you're interested in self-driving cars, and already have a basic understanding of programming and algebra, then this program is right for you! If you're considering a career in this amazing field, but don't yet possess all the skills and experience necessary to start applying for jobs today, this program will be your first step toward a self-driving car career. When you graduate, you will be ready for the Self-Driving Car Engineer Nanodegree program, where you'll learn everything you need to know to launch your career.

Question 4

What is the difference between the Intro to Self-Driving Cars Nanodegree program and the Self-Driving Car Engineer Nanodegree program?

Accepted Answer

The Intro to Self-Driving Cars Nanodegree program is an intermediate program open to anyone with an interest in autonomous systems and some programming and/or quant background. The Self-Driving Car Engineer Nanodegree program is an advanced program focusing on in-depth knowledge of autonomous systems. The program is designed for those with moderate to high programming, technical, and/or quant skills.

Question 5

Do I need to apply? What are the admission criteria?

Accepted Answer

No. This Nanodegree program accepts all applicants regardless of experience and specific background.

Question 6

What are the prerequisites for enrollment?

Accepted Answer

Students should have some experience with programming—writing short scripts in a programming language—and be comfortable with algebra. You should also feel comfortable reading and modifying code that you are given, with the understanding that solving problems in code may still be challenging.

Question 7

If I do not meet the requirements to enroll, what should I do?

Accepted Answer

We have a number of Nanodegree programs and free courses that can help you prepare, including: Intro to Computer Science, Programming Foundations with Python, Linear Algebra Refresher, Intro to Programming Nanodegree Program.

Question 8

How is this Nanodegree program structured?

Accepted Answer

The Intro to Self-Driving Cars Nanodegree program is comprised of content and curriculum to support eight (8) projects. We estimate that students can complete the program in four (4) months, working 10 hours per week.Each project will be reviewed by the Udacity reviewer network. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.

Question 9

How long is this Nanodegree program?

Accepted Answer

Access to this Nanodegree program runs for the length of time specified in the payment card above. If you do not graduate within that time period, you will continue learning with month to month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our Nanodegree programs.

Question 10

Can I switch my start date? Can I get a refund?

Accepted Answer

Please see the Udacity Program Terms of Use and FAQs for policies on enrollment in our programs.

Question 11

I have graduated from the Intro to Self-Driving Cars nanodegree program but I want to keep learning. Where should I go from here?

Accepted Answer

Students who graduate from the Intro to Self-Driving Cars nanodegree program should consider the Self-Driving Car Engineer, Robotics Software Engineer, or Flying Car nanodegree programs.

Question 12

What software and versions will I need in this program?

Accepted Answer

For this Nanodegree program, you will need to have the minimum equipment requirements outlined here: https://www.udacity.com/tech-requirements.

Question 13

Which version of TensorFlow, Keras, ROS, and C++ are taught in this program?

Accepted Answer

The following versions are taught in this program (subject to update):TensorFlow Version 1.3Keras version 2ROS KineticPython Version 3C++ Version 11

Intro to Self Driving Cars

Course Report

Course Features

Course Description

Highlights

Parameters

Module 1: Bayesian Thinking

Module 2: Working with Matrices

Module 3: C++ Basics

Module 4: Performance Programming in C++

Course FAQs