Corspedia | Intro to Self-Driving Cars

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

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.

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.

Intro to Self-Driving Cars

Brought by: Udacity

Overview

Syllabus

Taught by

Intro to Self-Driving Cars

Brought by: Udacity