4 months
Duration
1356 USD/full
1356 USD/full
Unknown
Tuition fee
Anytime
Unknown
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Start date

About

In this Intro to Self Driving Cars program at Udacity, you will 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 will be ready for our Self-Driving Car Engineer Nanodegree program!

Visit the official programme website for more information

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Overview

Self-driving cars are the future of smart transportation, and this introductory program is the perfect way to start your journey to a self-driving car career! 

This program enables anyone with minimal programming experience to learn the essentials of programming a self-driving car, from machine learning to object-oriented programming to probabilistic robotics. In this Intro to Self Driving Cars program at Udacity  you will learn how to solve problems in both Python and C++ as you discover what makes self-driving cars possible.

Career:

This program does not focus on job preparation. While many of the skills you learn are foundational skills for a career in self-driving cars, the goal of the program is for you to master the core skills necessary so you can progress to the advanced curriculum. When you graduate, you can enroll in the Self-Driving Car Engineer Nanodegree program, which will fully prepare you for a career in the field. If you are new to the field of self-driving cars, you can consider this a two-stage path to career readiness.

Programme Structure

Content:

  • Bayesian Thinking
  • Working with Matrices
  • C++ Basics
  • Performance Programming in C++
  • Navigating Complex Data Structures
  • Visualizing Calculus and Controls

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • This Nanodegree program accepts all applicants regardless of experience and specific background.
  • Students should have some experience with programming—writing short scripts in a programming language—and be comfortable with algebra. You should also feel comfortable reading and modifying code that you are given, with the understanding that solving problems in code may still be challenging.

Tuition Fee

To alway see correct tuition fees
  • International

    1356 USD/full
    Tuition Fee
    Based on the tuition of 1356 USD for the full programme during 4 months.
  • National

    1356 USD/full
    Tuition Fee
    Based on the tuition of 1356 USD for the full programme during 4 months.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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