Udacity Intro to Self Driving Car Nanodegree Review
Cars that drive themselves… it used to sound like something out of a sci-fi movie. But leading tech companies effectually the world are working feverishly to make them a reality. Higher instruction institutions are fifty-fifty teaching the fundamentals behind them!
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This extends to eastward-learning equally well, as both Udacity and Coursera have programs on how to brand cars bulldoze themselves. The most prominent among them are Coursera'south Self-Driving Cars Specialization (presented by the University of Toronto) and Udacity'southward Self-Driving Machine Engineer Nanodegree. We'll review both of them here and then you can get a sense of whether or non these programs are for you lot, and which one you lot should take.
What is covered in this commodity
- Coursera vs Udacity self-driving auto course comparison table
- Compare Coursera vs. Udacity self-driving auto courses
- Coursera vs. Udacity self-driving car programs: the main takeaways
Let'southward first our engines! (Sorry; had to say it.)
Coursera vs. Udacity self-driving car course comparing tabular array
Here, we'll get over some basic facts and observations well-nigh the top programs on self-driving cars for each platform. That should requite y'all a general idea of whether to enrol in Coursera's Cocky-Driving Cars Specialization vs. Udacity's Self-Driving Car Engineer Nanodegree, or the other way around.
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Of course, at that place are many other comparisons nosotros can make, and in more item. We'll comprehend those beneath.
Compare Coursera vs. Udacity self-driving auto courses
If you couldn't make a determination on whether to take the Nanodegree or Specialization based on the tabular array above, we'll exist diving into the details hither. Afterward we contrast the two programs more fully in terms of price, teaching styles, required cognition, fourth dimension commitment, and outcomes upon completion, you'll hopefully have a better idea of which one you lot should choice.
Outcome
Let's start at the end: what benefits – tangible or otherwise – tin you expect to proceeds upon completing an instruction plan on self-driving cars? This is one expanse where Udacity and Coursera differ most, every bit nosotros'll demonstrate.
Udacity
Afterwards you finish the Self-Driving Car Engineer Nanodegree program, Udacity'southward Career Services division will work with you to testify off your newly-caused skills in all the right places. Plus, with all of Udacity'due south corporate partnerships, you might even be able to bound straight into a job with one of the companies that worked to create your program! Imagine being able to kickoff a high-paying tech career with the likes of Mercedes-Benz, Nvidia, Uber, Didi, or McLaren Practical Technologies after finishing your Nanodegree! This is i of the large draws that makes a Nanodegree worth its price.
Coursera
Finishing the Coursera Self-Driving Cars Specialization will award you with a special certificate denoting that you completed the plan. In add-on, you'll also earn completion certificates for each individual grade in the Specialization: Introduction to Self-Driving Cars, State Interpretation and Localization for Self-Driving Cars, Visual Perception for Self-Driving Cars, and Motion Planning for Self-Driving Cars.
These are nifty credentials that you tin show off on your resume, in your portfolio, and on various other professional profiles. Yet, they don't count for credit towards bookish programs or task certification (unless an institution indicates otherwise). Coursera too isn't active in helping you job-hunt after you stop the Specialization, different when you finish a Udacity Nanodegree.
Duration & Pace
How long does a plan on self-driving cars take to consummate, and how much time and effort do you accept to invest? Udacity and Coursera have unlike guidelines regarding that, which we'll outline here.
Udacity
Udacity advertises that you can consummate the Self-Driving Auto Engineer Nanodegree in well-nigh six months. But in that location's a take hold of: that's assuming yous put in an average of 15 hours per calendar week of piece of work on the program. That'due south triple the footstep of Coursera'due south Cocky-Driving Cars Specialization! So while yous tin complete the Nanodegree in a shorter time frame, you demand to dedicate much more of your time to it overall – around 390 hours in total.
Coursera
Coursera's Self-Driving Cars Specialization takes an average of seven months to complete. While this at first seems longer than the corresponding Udacity Nanodegree, it'due south at a much more relaxed footstep of near 5 hours per week. Of course, y'all tin can devote more time to your studies and work alee to try and shave a month or two off your completion time, which will save you lot some money. In all, though, the program lasts simply about 150 hours.
Prerequisite Skills
Self-driving cars is a cutting-edge technology field, so you should have some high-level cognition before you attempt to swoop into it. Here'due south what Udacity and Coursera recommend you know before tackling their programs on cocky-driving cars.
Udacity
Equally an advanced-level program, Udacity'south Self-Driving Car Engineer Nanodegree requires a adequately large skillset from the get-become. You lot need to exist familiar with the nuts of physics, statistics, calculus, and linear algebra. Yous as well need to be fairly competent in estimator programming using both the Python and C++ coding languages.
Udacity recommends having a groundwork in programming, math, computer vision, or auto learning if yous desire to successfully complete this Nanodegree. If yous're not certain that you'll exist up to the chore, Udacity's Intro to Self-Driving Cars Nanodegree may be a good place to start, as its programming and math requirements aren't as steep.
Coursera
Similar its Udacity Nanodegree analogue, Coursera'south Cocky-Driving Cars Specialization is one of the website'due south more advanced-level offerings. You need many of the same skills: being able to program using the Python 3.0 programming linguistic communication, equally well equally having familiarity with physics, statistics, calculus, and linear algebra. It's also recommended that you take some knowledge of probability and command theory.
The 1 skill y'all don't demand for the Coursera Specialization that yous do for the Udacity Nanodegree is experience programming with the C++ coding linguistic communication. Even so, having a background in mechanical/electrical/computer engineering, robotics, computer vision, or deep learning will become a long mode towards helping yous succeed in this Specialization.
Didactics Structure
Information technology's being increasingly recognized that how y'all teach something matters equally much as (or more than) what you're really teaching. So how do Udacity and Coursera approach instructing the students in their respective self-driving machine programs? Permit's take a look.
Udacity
Udacity designs its Nanodegrees with real-world practical problems at the core, and and then surrounds them with lessons that build the skills you need to solve them. And the Self-Driving Car Engineer Nanodegree is no exception. In that location are nine projects in full in the program, and they challenge you to develop software that can do things like identify and monitor lane lines, traffic signs, and moving vehicles; precisely locate a motorcar if it'south stolen, command a car's systems while predicting what nearby moving objects will do, and more!
While that all sounds daunting, one of the great things about Udacity is yous oft have lots of admission to exterior help. Udacity partners with all sorts of companies who use the technology they teach on a daily basis, and often invites their training teams in to help show you how to work it. Udacity also has a mentoring plan where it hires tech enthusiasts to be available for one-to-i assist with students. So even if you lot get stuck on something you don't empathise, you'll know that in that location's somebody who knows their stuff bachelor to assistance walk you through it.
Coursera
Coursera'due south Self-Driving Cars Specialization is based on a series of courses taught in the real world at the University of Toronto. As such, the courses that make it up are delivered in a similar manner to traditional colleges and universities: with lectures, readings, and progress-checking assignments. It'southward still a very easily-on program, merely in dissimilarity to Udacity'south comparable Nanodegree, it focuses a fleck more on theories and questions driving the autonomous technology manufacture as a whole (pun not intended).
A big perk of Coursera's system is that this Specialization'south course lectures are subtitled in over 12 languages. Coursera'south interface tin be translated into 10 unlike languages, as well. That makes the form materials a bit easier to understand for people whose get-go language isn't English (though some materials may still require some understanding of English language). A downside, however, is that Coursera doesn't have any sort of mentor system similar Udacity does. So asking the course administrators something privately, or posing a question to your young man colleagues in an open forum setting, are your best options for aid.
Cost
Learning online has go an often-cheaper alternative to frequenting a college or university campus in real life. Just feature-rich programs like the Udacity Nanodegree and Coursera Specialization on self-driving cars are withal going to price you some coin. How much? Let's see.
Udacity
When yous enrol in a Udacity Nanodegree, you lot can choose to purchase access to the course for the boilerplate completion time, and then pay monthly if you demand more than time. Or you tin can pay month-by-month from the start. Either manner, it's going to take a toll on your wallet.
Nanodegrees cost $280/calendar month if you buy the recommended fourth dimension frame bundle, and then $400/month for each month after (or if you choose to pay equally yous go when you sign up). For the Self-Driving Car Engineer program, which lasts approximately vi months, that'south going to price you in the ballpark of $1700 plus tax.
Coursera
The Self-Driving Cars program is ane of the more expensive Specializations on Coursera. At $80/month, though, information technology'southward still much cheaper than its Nanodegree counterpart. If y'all follow the recommended time frame of vii months, it volition only terminate upward costing you effectually $650 with taxation included. That'southward about 3 times less than the average toll of the Self-Driving Car Engineer Nanodegree.
Another point for Coursera here is that Specializations come with a ane-calendar week free trial. So if yous enrol in the Self-Driving Cars program and decide it's not your bag, y'all can cancel within a week and not pay a dime. That'due south something you can't practice with the Nanodegree.
Coursera vs. Udacity self-driving car programs: the main takeaways
To sum upwardly, both Udacity's Cocky-Driving Automobile Engineer Nanodegree and Coursera's Self-Driving Cars Specialization are both corking options for getting quality education most a rapidly-growing co-operative of technology. But which i is right for you?
The Nanodegree is probably the improve pick if yous're dead-attack straight starting a chore or career working specifically with self-driving cars. It gives you lot more than easily-on experience, more one-to-one technical assistance, and better firsthand employment opportunities. It costs a lot of money, though, and you have to devote much more than time and endeavor to finish it on schedule so that you don't stop up paying even more. This can be fabricated all the more difficult if you don't understand English very well.
On the other hand, yous might prefer the Specialization if you desire a more theoretical mural view of autonomous technology as a whole industry, with self-driving cars beingness i (but still a central) part of it. It'south not every bit large of a time or skill commitment, and information technology'south more accessible for people who aren't that comfortable with English. It costs much less coin, besides. Just personalized help is harder to come past in the programme, and the credentials you lot get on finishing it aren't guaranteed to help you accelerate your academic or professional career. They however could in some cases, though.
And that'south the finish line for our comparison of self-driving cars programs on Udacity and Coursera. But if you're interested, we have even more than comparisons of the two e-learning platforms, including a breakdown of a Udacity Nanodegree vs. a Coursera Specialization.
Source: https://techboomers.com/udacity-coursera-self-driving-car
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