Best of Udacity Intro to Self Driving Cars Review

The self-driving car is the coolest technology that has become true from fiction. If you are interested to work on it and don’t know where to start learning this skill, then this course is for you.

Many students who want to learn self-driving cars don’t know where to start. Hence we’ve made this Udacity Intro to Self Driving Cars Review to let you know how you can take this course to learn scratch.

Udacity Intro to Self Driving Cars Review 2021

Self Driving Car is the dream of many people and hence there will always be someone who would like to buy it. Since it’s the start of new technology and rising demand for it, there will always be demand for a self-driving car engineer.

You can take the course, Intro to Self Driving Cars Nanodegree Program to learn self-driving cars from scratch.

Prerequisites of Intro to Self Driving Cars

Although Intro to Self Driving Cars training course is the first step to learn autonomous driving technology, you must first meet some prerequisites to take this course. It would be great if you already know these technical skills and you can start right away. 

If not, then we recommend that you learn prerequisites technical skills before taking an autonomous vehicle course. I know this is not going to be easy, well nothing in this world is, isn’t it? So let’s find out what does it take to learning Self-Driving Car from scratch. 

Below are the technical skills you need to know before taking this course:

• Any experience in any programming language or writing scripts. 
• Knowledge of Algebra from your school or college would be great.

If you don’t know any programming language, then you can learn one of the easiest programming languages, we recommend Python for its versatility and simplicity. However, C++ also plays a vital role in this technology.

Both Mathematics and Programming language is essential to begin your journey in self-driving cars.

Intro to Self-Driving Car Resources and Syllabus

It’s a good thing if you already know algebra and Python programming language. You are ready to begin your journey to learn the course of the Self-Driving car. 

This Intro to Self-Driving cars training tutorial consists of 7 sections and projects in each section. The projects in each section will greatly help you to equip you with all the necessary skills.

Let’s see what each section of the self-driving course has to offer and what you learn in each section.

Bayesian Thinking

After you’re done with the introduction class and learn the interface of Udacity LMS, you’ll dive right into the first section of the course. Here you’ll learn about Baye’s law and use it along with several sensors to make the best data available for processing. Bayesian Theorem is the fundamental framework needed to understand self-driving car technology.

The learnings from this section will the fundamental basics of your next section, hence make sure that you do not miss out on any of the essential topics. Once the theories are done, you’ll proceed towards the projects. To be honest, the project is fun to work on as you’ll involve in writing programming scripts to control the simulated vehicle.

Working with Matrices 

We’ve all learned Matrics in high school or college, and it super helpful if you know some of the topics. If not, do not worry, as it will teach the necessary concepts needed for self-driving cars. The two main focus of the course is to groom you on object-oriented programming and linear algebra. Hence, you are taught both these essential concepts to get started with the Intro to Self-Driving Car training course.

Along with the basics, you also get a brief introduction training on how you can read equations such as the Kalman filter. Also, you’ll be able to translate the Kalman equation into Python codes to use in the scripts.

C++ Basics

C++ is the programming language necessary to achieve the feat of autonomous driving. C++ has broad use cases in several technologies. Learning C++ programming language will never go to waste. 

In this class, you are trained to translate your Python code into C++. This is achieved by applying C++ syntax by translating the Histogram Filter code.

Performance Programming in C++

Here you’ll fine-tune your skillset of writing better code in C++. It teaches every trick that an upcoming developer needs to know. Some of them are learning how to minimize the copying overhead or passing data by preference or when to use 32 bit etc, the list goes on.

By learning to write the C++ code using all the best practices makes you a better and efficient programmer. The project in this section teaches you to optimize the C++ code. 

Navigating Complex Data Structures

Data Structures and Algorithms is an essential topic that every programmer needs to learn. It comes very handily while you’re working on computer vision and Machine Learning projects. 

Self-Driving car technology uses both Computer Vision and Machine Learning algorithms. Here you acquire the algorithmic thinking skills which will help you throughout your career as Self-Driving Engineer.

Going from point A to B is not as easy as you’re thinking. Hence your knowledge of graph data structures and search algorithms will help in self-driving car projects.

Is Data Structures and Algorithms important for Machine Learning? Yes, it is. 

Visualizing Calculus and Controls

Visualization is a powerful skillset to learn in the world of Data. Calculus is another math topic that you may have learned in high school or college. However, this section of the course will provide introductory topics on basic calculus. 

Along with calculus, you will be trained on some of the popular visualization libraries available in Python. The project of this course is to build a visualization tool to get continuous trajectories coming from control algorithms and various searches.

Machine Learning and Computer Vision

This is the most important chapter of the entire course. Both ML and Computer Vision is the future of new upcoming technologies. This section teaches how a computer sees and perceives an image. Then the computer is taught to identify images by using Machine Learning technology.

This project involves you in an ML and Computer vision project to build an image classifier from scratch. 

Features of Intro to Self-Driving Cars Udacity Review

Below are the other miscellaneous features that Udacity offers when you enroll in this course.

• Get to work on Real-World projects on Self-Driving Car from experts.
• Mentor Support will be provided to help you along the entire course to help you keep up with the course track.
• Offers career service to help you review your professional resume and profile.

These features make the Udacity Self Driving car course to be very engaging.

Summary: Udacity Intro to Self Driving Cars Review – Is it Worth?

Our answer is, YES. This Udacity Intro to Self Driving Cars Review is created to help students like you to secure their future by recommending the best courses. The features and offers by Udacity are good and trustworthy. Also, the certification from Udacity is well recognized by several industries and organizations across the world.

We’ve also published the list of best online course of Self-Driving Cars.