[UDACITY] Intro to Self-Driving Cars v1.0.0

NANODEGREE PROGRAM–nd113

Start on the road to a Self-Driving Car career

This introductory program is the perfect way to start your journey.

  • ESTIMATED TIME 4 Months

    At 10 hrs/week

  • ENROLL BY May 15, 2019

    Get access to classroom immediately on enrollment

  • PREREQUISITES
    Programming & Mathematics

    See prerequisites in detail

See the Udacity Advantage

Learn the tech skills you need to advance your career

Real-world projects from industry experts
With real world projects built in partnership with industry experts, you’ll build a job-ready portfolio graded by experienced reviewers that showcases the tech skills companies want.
1-on-1 technical mentor
Get a knowledgeable mentor who guides your learning and is focused on answering your questions, motivating you and keeping you on track.
Personal career coach and career services
You’ll have access to career coaching sessions, interview prep advice, and resume and online professional profile reviews to help you grow in your career.
Flexible learning program
Get a custom learning plan tailored to fit your busy life. Along with easy monthly payments you can learn at your own pace and reach your personal goals.
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Why Take This Nanodegree Program?

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. This program is a fantastic introduction to the field of autonomous systems.

Icon - Dark upwards trend arrow

Researchers estimate driverless cars will save
10 million
lives per decade!

Selling Points - people sitting in self-driving car (nd113 features-01)

Groundbreaking Curriculum

Sebastian Thrun and the Udacity Self-Driving Car team are pioneering educators in this field, and Udacity offers the only program of its kind, where you can learn to be a self-driving car engineer.

Selling Points - simulation of Udacity's self-driving car (nd113 features-02)

Minimal programming experience required

Anyone with minimal programming experience can learn the essentials of building a self-driving car. You will learn how to solve problems in both Python and C++ as you discover what makes self-driving cars possible.

What You Will Learn

SYLLABUS

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

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

NEED TO PREPARE?

We recommend the Intro to Programming Nanodegree program.

“As self-driving cars start taking over the world, everyone should be a part of this revolution. I am very confident that Udacity students will be the catalyst.”
— SEBASTIAN THRUN

Learn with the best

Sebastian Thrun

Sebastian Thrun

UDACITY PRESIDENT

Scientist, educator, inventor, and entrepreneur, Sebastian led the self-driving car project at Google X and founded Udacity, whose mission is to democratize education by providing lifelong, on-demand learning to millions of students around the world.

Andy Brown

Andy Brown

CURRICULUM LEAD

Andy has a bachelor’s degree in physics from MIT, and taught himself to program after college (mostly with Udacity courses). He has been helping Udacity make incredible educational experiences since the early days of the company.

Cezanne Camacho

Cezanne Camacho

COURSE DEVELOPER

Cezanne is an expert in computer vision with an M.S. in Electrical Engineering from Stanford University. Inspired by anyone with the drive and imagination to learn something new, she aims to create more inclusive and effective STEM education.

Andrew Paster

Andrew Paster

INSTRUCTOR

Andrew has an engineering degree from Yale, and has used his data science skills to build a jewelry business from the ground up. He has additionally created courses for Udacity’s Self-Driving Car Engineer Nanodegree program.

Anthony Navarro

Anthony Navarro

PRODUCT LEAD

Anthony is a US Army combat veteran with an M.S. in Computer Engineering from Colorado State University. Prior to being a Product Lead at Udacity, he was a Senior Software Engineer at Lockheed Martin in their Autonomous Systems R&D division.

Elecia White

Elecia White

ENGINEER, AUTHOR, HOST

Elecia is an embedded software engineer at Logical Elegance, Inc, the author of O’Reilly’s Making Embedded Systems, and host of the Embedded.fm podcast. She enjoys sharing her enthusiasm for engineering and devices.

Tarin Ziyaee

Tarin Ziyaee

VOYAGE, DIRECTOR OF AI

As the Director of Artificial Intelligence at Voyage Auto, Tarin works to deliver low-cost, self-driving taxis. He brings a total of 14 years experience in perception and deep neural networks working with companies such as Apple.

Size: 4.03G
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Update: Exercise in the course (nanodegree) all the workspaces individually for the “intro to Self Driving cars” nanodegree.
Thanks to FlyingCow ([email protected])
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Course: https://www.udacity.com/course/intro-to-self-driving-cars–nd113

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