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Udacity

Introduction to Self-Driving Cars

via Udacity Nanodegree

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Overview

Learn the essentials of building a self-driving car, including probability, C++, machine learning, and linear algebra.

Syllabus

  • Orientation
    • Welcome to the Intro to Self-Driving Cars Nanodegree program! In this section you'll get a sneak peak of the classroom, meet the team, and learn about the services provided. Then you'll take a readiness assessment and check out some learning resources to help you make the most out of your experience.
  • 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 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.
  • Vehicle Motion and Control
    • This course is a crash course in two branches of mathematics which are crucial to self driving cars: calculus and trigonometry. You will learn how a self driving car uses various motion sensors to help it understand its own motion.

      At the end of this course you will use raw sensor data (which give information about distance driven, acceleration, and rotation rates) to reconstruct a vehicle's trajectory through space.
  • Computer Vision and Machine Learning
    • 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.
  • Graduation! - Intro to Self-Driving Cars
    • Congratulations! You're ready to graduate. Learn how you can continue your Udacity journey by enrolling in a Career-Ready Nanodegree Program
  • Career Services
    • These Career Services will ensure you make meaningful connections with industry professionals to accelerate your career growth - whether looking for a job or opportunities to collaborate with your peers. Unlike your Nanodegree projects, you do not need to meet specifications on these Services to progress in your program. Submit these Career Services once, and get honest, personalized feedback and next steps from Udacity Career Coaches!

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.

Reviews

4.5 rating, based on 2 Class Central reviews

4.6 rating at Udacity based on 392 ratings

Start your review of Introduction to Self-Driving Cars

  • Profile image for Nikhil Nair
    Nikhil Nair
    This was my first Udacity course. I highly recommend this course to anyone who wants to begin a career in autonomous vehicles. The course content only touches the surface, but it teaches you the fundamentals that are required to build good algorithms for autonomous cars and can be a good starting point for pursuing more advanced courses in this field.
  • Anonymous
    So far it was good and exciting to learn. Looking forward to complete remaining with same excitement and great learning.
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