Udacity Machine Learning Nanodegree Review [Updated]

Start a career in one of the most exciting fields of Technology, artificial intelligence. And one of the most popular branches of artificial intelligence is Machine Learning, where complex systems and mathematical algorithms work together to create systems that are potentially capable of learning on their own. This may sound like a script straight out of the futuristic films, but engineers in top AI companies are already working on it right now. Some of the concepts involved in machine learning come with problems that require everyday solutions.

A big chunk of machine learning involves development of programs that can learn on their own but need constant tweaking in order to allow machines to learn further and become more effective and efficient. As a machine learning engineer, you will need to constantly stay up-to-date with the most recent technologies, learning new techniques used by other engineers to create more advanced and sophisticated machines. If this is something you might be interested, there are several online courses that you can sign up with in order to learn the fundamentals, allowing you to start a career or advance your existing knowledge. But, not all online learning programs are created equal. Some offer more in-depth learning than others while some offer lots of hands-on experience. Udacity’s Introduction to Machine Learning Nanodegree program is designed to give you the best of both worlds. With this program, you will learn to work with supervised and unsupervised algorithms, and learn how to manipulate data in order to create complex self-running systems.

If you are thinking about switching careers or starting a career in machine learning, you need to find a course that will give you an all-rounded foundation to ensure that you can solve some of the complex problems businesses are facing today. With advances in technology, so do the solutions needed to fix these problems require knowledgeable and creative professionals to do the job. In this post, we introduce you to the Introduction to Machine Learning Nanodegree program from Udacity, breaking down the course content as well as the program’s perks and extras with hope that you will find all the information you need to decide whether this online course is right for you.

About Udacity

Udacity is a popular online learning platform with an established reputation in the field of technology. They let anyone interested in the field acquire industry-tailored skills from the convenience of their homes or workplace. Today, Udacity have a large number of successful graduates, some of whom are employed by high-ranking multinationals. All Udacity’s online courses are developed in collaboration with technological giants and taught by industry experts. Read Udacity review here.

Why this online Machine Learning course?

Thanks to the rapid advancement in technology, there is a huge demand for professionals who can build complex machine systems. Every industry, from finance to healthcare, all the way to advancing technology, are in need of machine learning engineers. And it is estimated that the demand for these professionals will continue, creating a huge gap to be filled by graduates looking for a career change. Thus, there is a huge surplus of positions wailing for people who understand this subject, making it the ideal time to jumpstart a career in machine learning. 84% of graduates who have successfully completed this online course landed high paying jobs within six months of successful completion. With this online course, you will not only understand all the basics and foundation you need to start a successful career in machine learning, but you will also have hands-on experience making an sought after candidate for the top companies looking for the machine learning experts.

About Udacity Nanodegree Courses

When you sign up for an online course with Udacity, like the Cloud Developer Nanodegree program, you will not only get an in-depth curriculum but also attractive extras. These Udacity’s signature extras have brought the platform a lot of attention. Here are some of these extras:

  • Community support – you will get to interact with learners like you
  • Mentorship – Tech challenges will be no more with a mentor that is ready to give you a hand
  • Career help – your resume will be polished, LinkedIn profile reviewed, and taken through a mock interview in readiness for the job market
  • Projects – you will access real-world inspired projects to reinforce the skills you have learned.
  • Freedom – you will get to design your own learning schedule and learn at your convenience.

Course Instructors

While the course may be comprehensive enough to introduce you to the concepts of Machine Learning, your tutors are going to be the ones to drive the points home. This online course is facilitated by instructors with killer credentials. Most of these tutors have years of experience in the machine learning field and have made impact sharing their expertise. Here are the tutors you will interact with in this online machine learning course: 

  • Cezanne Camacho – electrical engineer from Stanford University
  • Mat Leonard – physicist and neuroscientist from Berkeley
  • Jennifer Staab – former statistician and computer scientist with RTI
  • Josh Bernhard – data scientist at NerdWallet

Course Prerequisites

Now, let’s look at some of the prerequisites of this online course. Learners who want to follow through with this course will need to have a good grasp of Python programming language with at least six months of Python training. They also need to be familiar with concepts such as data structures, lists, and dictionaries. Basics in probability and statistics are also recommended. If you are familiar with these concepts, then enrolling for this online machine learning course should be no problem.

If any of these skills are a little out of your league, or maybe you would love to brush them up, you can find a list of free Udacity courses or check out their course catalogue to build a solid basis in any of the skills mentioned above.

Course Structure

This online machine learning course from Udacity has been broken down into three modules, all of which are further broken down into topics that dig deeper into crucial concepts in machine learning training.

Supervised learning

The course starts by introducing learners to supervised learning. In this module, you will work with the latest methods and technologies to classify and process data using machine learning. This supervised learning module will set you up for subsequent more in-depth modules that follow. You will increase your knowledge with more in-depth Python and Pytorch trainings throughout the entire program.

Deep Learning

In this module, you will dive in deep into the inner workings of machine learning training. You will observe neural networks design and function and further your knowledge of Python and Pytorch training. You will then further your basis by closely working with systems through GitHub training where you will learn every step you need to begin creating the systems of tomorrow.

Unsupervised Learning

This module is a bit more complex, requiring implementation of inference and algorithms in your attempt to find patterns without a reference point. Here, you will get a chance to observe how different kinds of problems are solved beginning with unsupervised learning training. By the end of this module, you will have all the resources you need to start creating newer and more sophisticated machines that are capable of solving business problems.

Upon successful completion of this online ML course, you should have a solid grasp of all the foundational skills required to incorporate into a successfully running AI project. Once you have reached a good foundation, there are multiple other in-depth concepts that you will be able to master with ease. This program offers five optional projects that you can participate in to enrich your learning experience. From these projects, you will gain a hands-on experience with a project that you can add to your portfolio.

Course cost

The cost of this online ML course is directly affected by the time a learner takes to complete it. In order to make the program affordable for learners of different budget ranges, Udacity has two payment plans. As of now, each option comes with a promotional one month FREE access offer.

Monthly Access

Pay as you go is one of the platform’s payment options. Each month you access the course, you will pay $399. As you can imagine, taking too long with this plan can translate in a huge overall bill. That is why it is important that you come up with a workable learning schedule and stick to it.

Udacity deal

You can also opt for Udacity’s estimate. Here you will enjoy a 15% discount when you bundle up and pay $1017 for the course upfront. This option drives the monthly cost to $339 as you will only pay for two of the three months. This is a great deal; especially if you are certain that you can complete the course within three months.

Previous learners’ experience with the course

Udacity enjoys a positive online presence. Though they have previously received questionable reviews, most learners had only positive things to say about this online machine learning course. Overall, this course enjoys 4.5/5 star rating. You can also visit Quora or Reddit for specific reviews, or even find more feedback on the website. Here is what learners had to say about this course:

This program is for all enthusiasts out there who want to get strong fundamentals in machine learning, artificial intelligence and data science. You will work on real and challenging projects! You think you are ready for this? Try it out, you won’t regret it!“—Eugene Vasile

The first project was creating a fully functional web app for the evaluation of reviews, based on Amazon SageMaker! All necessary basics were explained in detail and very clearly, so that one has fast learning success. I am very satisfied.“—Andreas Börzel

The program content is simply outstanding. Same goes for the instructor- Luis is simply amazing. The concepts have been explained so well. A key differentiator is the intuition behind the concepts that Luis explains so well.“—Madhu Bagroy

Final thoughts

A bit of Python and Pytorch training, supervised and unsupervised learning training, as well as complex machine learning concepts are all provided in this well-rounded machine learning program from Udacity. While this is considered an intermediate course, prospective learners with zero experience can also complete this course successfully. However, they will need to put in a little more effort. The practical coding skills you will learn throughout the course will ensure that you are fully equipped to solve today’s business challenges with machine learning. For a limited period, Udacity is offering 15% discount to learners who sign up for this and other online courses offered by the platform. So, wait no more. Sign up today and join thousands who have successfully started their machine learning careers with this online Introduction to Machine Learning Nanodegree program from Udacity.

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