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Intro to Self Driving Cars

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Course Report - Intro to Self Driving Cars

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Course Features

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Duration

4 months

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Effort

10 hours per week

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Teaching Type

Self Paced

Course Description

This program will help you to improve your Python skills and learn how to use C++. It also covers how to apply matrices, calculus, and code matrices. You'll also touch on machine learning and computer vision. These concepts can be used to solve self-driving vehicle problems. You'll be ready to take the Self-Driving Car Engineer Nanodegree course at the end!

Course Overview

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Job Assistance

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Personlized Teaching

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International Faculty

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Post Course Interactions

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Hands-On Training

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Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

Some experience with programming

Writing short scripts in any programming language

You should feel comfortable reading and modifying code that you are given, but it's all right if solving problems in code is still challenging

What You Will Learn

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

Performance Programming in C++

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++

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

Target Students

Engineers

Software Developers

Course Instructors

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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.
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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.
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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.
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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.
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