Intro to Self-Driving Cars

Intro to Self-Driving Cars

In this program, you’ll sharpen your Python skills, apply C++, apply matrices and calculus in code, and touch on computer vision and machine learning. These concepts will be applied to solving self-driving car problems. At the end, you’ll be ready for our Self-Driving Car Engineer Nanodegree program!

4 months to complete

You should be comfortable reading and modifying code. You should also be comfortable with basic algebra.

• Bayesian Thinking

  Learn the framework that underlies a self-driving car’s understanding of itself and the world around it, and to see the world the way a self-driving car does.

• Working with Matrices

  This course will focus on two tools which are vital to self-driving car engineers: object oriented programming and linear algebra.

• C++ Basics

  This course is the first step in a rewarding journey towards C++ expertise. The goal is translation: get a program written in Python, and translate it into C++.

• Performance Programming in C++

  Explore how to write good code that runs correctly. We’ll focus primarily on low level features of C++, but we’ll discuss other best practices as well.

• Navigating Complex Data Structures

  Algorithmic thinking is a skill you’ll refine throughout your career. In this course you’ll focus on frequently used data structures and algorithms.

• Visualizing Calculus and Controls

  In this course you’ll learn basic calculus—the mathematics of continuity. You’ll also learn to use some of Python’s most popular visualization libraries.

• Machine Learning and Computer Vision

  In this course you’ll learn how a computer sees an image, and how we can use machine learning to teach a computer to identify images programmatically.