Development [Udacity] Intro To Self-Driving Cars Nanodegree

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DESCRIPTION:

Why Take This Nanodegree Program?

Self-driving cars mark the biggest change to the automotive industry in the last 100 years. Every major car company is applying this technology and looking to hire talented individuals. This program introduces you to the basic concepts needed for engineering autonomous vehicles. Our program is your first step into this exciting world!

Start Your Self-Driving Car Future
Self-driving cars are taking the world by storm and this is your chance to get involved! Learn the fundamentals and start your journey to becoming a self-driving car engineer!

Mentorship, Project Reviews, Community
Your assigned in-classroom mentor will help answer questions and monitor your progress, reviewers will give you actionable feedback on your projects, and you’ll be part of an engaged and supportive peer community.

Guaranteed Acceptance
Upon completion of Intro to Self-Driving Cars, you will get guaranteed acceptance to our Self-Driving Car, Robotics, or Flight Nanodegree programs.

Learn by Doing
Instead of learning passively by watching lecture videos, we believe learning by doing will help you comprehend topics much better. Multiple quizzes and exercises are available to help you learn the concepts.

What You Will Learn:
In this program, you will sharpen your Python, apply C++, apply matrices and calculus in code, and touch on computer vision and machine learning. All of this concepts will be applied to solving self-driving car problems. At the end, you’ll be ready for our Self Driving Car Nanodegree program

SEE FEWER DETAILS:

• 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.

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