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Microcredential

Intro to Self-Driving Cars

via Udacity Nanodegree

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Overview

With just minimal programming experience, you can learn the essentials of building a self-driving car. You’ll discover how to solve problems in both Python and C++ as you explore what makes self-driving cars possible. Plus, graduates earn guaranteed admission into our career-ready Self-Driving Car Engineer Nanodegree program!
This introductory program is the perfect way to start your journey.

Syllabus

Prerequisite Knowledge

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

  • 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.

    Joy Ride2D Histogram Filter in Python
  • Working with Matrices

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

    Implement a Matrix Class
  • 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++.

    Translate Python to 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.

    Performant C++
  • 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.

    Planning an Optimal Path
  • 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.

    Trajectory Visualizer
  • 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.

    Image Classifier from Scratch

Taught by

Sebastian Thrun, Andy Brown, Cezanne Camacho, Andrew Paster, Anthony Navarro, Elecia White, Tarin Ziyaee, Michi T., Dean M., Xu D., Paul V., Michael I. and Prashant K.

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