Learn Deep Learning Online with Udacity

Learn how to use data to create functions and algorithms that can perform processes and functions similar to the human brain. This is achieved by creating patterns that are capable of making decisions based on the algorithms put into play. With deep learning knowledge, you can use machines in combination with artificial intelligence to create the ability of the system to learn unsupervised with unlabeled or unstructured data.

This opens up a world of possibilities in the world of technology, triggering the creation of new and better performing learning systems. There are even ways deep learning experts can integrate knowledge learned from online platforms into search engines allowing Artificial Intelligence systems to learn and function on their own. This is achieved through applications like cloud computing where big data is analyzed and utilized to create self-learning systems.

Technological advances have given these systems even greater learning capabilities, creating Artificial Intelligence systems that can process larger data than any human can. This can be achieved by the system using a combination of sounds, images, and text; using these to learn and integrate into future output. To achieve this, deep learning experts need to develop multiple layers in a network known as neural network, paying close attention to every layer, its construction, and architecture.

Over the last decade, there has been a sharp rise in deep learning systems, some capable of accurately identifying functions that would otherwise be impossible for the human eye. Increase in power and demand for deep learning is occurring at the same pace as advancements in technology, creating a huge demand for trained and knowledgeable professionals in this field.

Major industries like the Medical Research, Defense, and Aerospace, are already actively utilizing deep learning technology. Industry leaders are working on creating systems that do not need human contact to function. This has improved the existing specialized technologies used in practice, bringing new hope to fields like cancer research as well as new insights to safety in the aviation industry. The same technological approaches are also finding their way in cellphones and home appliances like Alexa and Google.

If you are interested in this emerging and exciting yet constantly evolving field, then this is the perfect time to prep up your skill and start your career as a deep learning expert. To help you get started, Udacity is offering an online Deep Learning Nanodegree Program for you. This self-paced online course takes around four months to complete. This post will review the course, its curriculum and perks, and help you decide whether it is the right program for you.

About Udacity

Udacity (read review here) is famous for producing graduates that are ready to step out and take over the job market. The platform reports that 84 percent of successful graduates tend to find better jobs within six months of graduation, and on average, many had a pay rise of $24,000 per year. Not only do the numbers create a good impression of this online learning platform, but also its goal of taking education to learners around the world at an affordable price; the very reason why Udacity was founded by two Sanford professors. Today, the platform offers several online courses, including their famous Nanodegree programs that come with several perks, all dealing with tech and IT subjects.

Udacity Deep Learning Nanodegree Review Perks

Apart from its rich curriculum and experienced tutors, this online learning platform also offers great perks that ensure student success. These perks come with every Nanodegree program and include the following:

Comprehensive hands-on projects

Udacity teams up with industry leaders to develop projects that give learners real-world hands-on training. During these projects, learners are prompted to apply what they have learned throughout the duration of the Nanodegree program. Learners are encouraged to use their creative imagination to develop solutions to problems organizations face from time to time. The project is then reviewed by Udacity staff ensuring that the learner effectively applied their skills and the output is up to par with what industry leaders are looking for. Successful completions of these projects give learners their first project to add to their portfolio.

Knowledgeable mentors

Learners are taken through advanced Python training, Numpy training, and more complex Artificial Intelligence concepts. Mentors will be around to cheer you on, helping you complete tasks within the expected time. All their mentors have knowledge in the topic areas involved in the course, receiving comprehensive learning courses with advanced Python training themselves. Some of these mentors are previous learners who understand everything you need to successfully complete your course.

Flexible learning schedule

Though Udacity recommends that this course can be completed within four months if you dedicate 10 hours to learning every week, learners are at liberty to take all the time they need to successfully complete the curriculum. This is perfect for those with a tight schedule.

Course tutors

This online deep learning course is facilitated by experienced and knowledgeable tutors. These instructors will take you through the lectures, guiding you through all the concepts with detailed explanations as well as real examples. Here are the tutors you will interact with in this course:

  • Mat Leonard – Physicist and Research Neuroscientist
  • Luis Serrano – Machine Learning Engineer at Google
  • Cezanne Camacho – Electrical Engineer at Sanford University

Why choose this online deep learning course?

This course covers all the fundamentals of deep learning. You will learn and practice the newest and most used topic in the field of deep learning. You will then build complex TensorFlow Python course projects using the latest platforms in the industry. You will learn these and other concepts throughout the course, with experts on standby to provide guidance, enhancing your knowledge to become competitive. Upon successful completion of the course, you will be able to join teams working on innovative projects in the fields of Artificial Intelligence and Deep Learning.

The demand of deep learning experts have risen and those with skills and experience are able to land jobs that pay as much $146,000 per annum. According to a recent artificial intelligence news, the demand of deep learning professionals have grown by over 300 percent, making this the perfect time to start learning deep learning. Completing this online deep learning course will give you a great foundation to continue learning comprehensive and detailed topics you will need to create multiple levels of neural networks; the inner workings of a fully functional self-learning machine.

Course prerequisites

This Udacity deep learning Nanodegree program is ideal for beginners with the only prerequisite being a basic understanding of Python. With a bit of Python training, you should not have any trouble building on to your knowledge to learn a more comprehensive way to use the programming language for creating algorithms. The curriculum contains six sections that will put you to the deep end with an introduction.

Introduction

You will start off your Udacity deep learning training with Anaconda and Jupyter notebook training. Here you will understand development tools used to style transfer images. This is only a very small example that will prepare you to get ready for diving into this online deep learning course curriculum.

Module 1: Introduction to Neural Networks with NumPy and PyTorch

You will learn how to build your very first network in this section of the course. You will be introduced to the most basic programming tools. You will get insight into how to construct multiple layers in order to create several functioning networks programmed to collect and analyze data. You will end this section by applying what you have learned to complete a small hands-on project that is capable of predicting bike-sharing pattern.

Module 2: Convolutional Neural Networks (CNN)

The next section of the program has an example at the end where you will work with a dog breed classifier. You will accomplish this using an intelligent system that, using algorithms input, can successfully identify a dog breed by analyzing its specific features. In this section of the course, you will take a look into the deep learning methods of image classification as technology is now capable of recognizing faces and images based on patterns. This is taught and applied using concepts like data compression and image denoising, both of which you learn in this section.

Module 3: Reccurent Neural Networks (RNN)

This section involves a more intensive PyTorch training. Here you will be introduced to both short-term and long-term memory networks. You will use these in combination with text to generate words that are used for creating TV scripts. This section of the course requires a different approach to building algorithms. You will learn how to create loops and cut offs when needed.

MODULE 4: Generative Adversarial Networks (GAN)

The next two sections of this Udacity deep learning course will take you further into the deep end where you will start to understand deep convolution generative adversarial networks (GAN). Mastering how to create real life images, you will use the concepts taught in this section of the course in combination with what you have learned in previous sections to create faces. This section and the last are the most challenging sections of this course. However, they will bring you closer to real-life problems you will encounter in your future jobs.

Module 5: Deploying a Sentiment Analysis Model

This is the last and, perhaps, the coolest section of the course. Here, you will look over new user input using PyTorch sentiment analysis. This is also the most interactive and informative section of the course where you will not only build a model, but also get to construct a gateway to access it from a website. In this section of the course, you should expect to a bit more advanced PyTorch training as well as more advanced Python algorithms. What you have learned in previous sections will come in handy here.

Helping graduates get hired

Upon completing this online deep learning course, graduates can take advantage of Udacity job assistance program. Using this as well as Udacity’s partnership with several large organizations, graduates in deep learning are able to gain a better understanding of what employers are looking for. You will learn how to become competitive in the growing job market. Udacity’s career staff will help you with three things:

Review your resume

Udacity’s Career Services professionals will go over your current resume and provide feedback on how you can improve it. They know exactly what employers are looking for and will help you structure your resume to suit your qualifications. They will also ensure that it is proofread and ready for presentation to potential employers.

Interview preparation

Graduates will be prepared on how to ace a job interview. You will be taken through a mock interview where you will be asked some of the most common questions candidates go through during a deep learning job interview, receiving feedback and answers. This will help you build confidence when going for the actual job interview.

Social profile review

The Career Services staff will also review your LinkedIn profile to ensure that it is serving you in the best way possible. You will receive suggestions and get an opportunity to ask questions in order to create a profile that will help you get hired

Apart from all these, you can also take advantage of Udacity’s Talent Program. Recruiters from top organizations are always on the lookout for new talent. Udacity has a working partnership with several industry players and will browse through employers, matching successful graduates with jobs where their skills are required. Graduates can also browse through job titles to find one that fits their skills.

Udacity Deep Learning Nanodegree certificate

Upon graduation, you will be issued with a certificate that displays your name, course completed, and a signature of the Academy’s president. Udacity certificate is becoming increasingly popular as more companies partner with the academy and as more graduates move up the ladder within the tech industry.

Course pricing

Udacity prices its courses by monthly access. This is usually $399 for its Nanodegree programs. This online deep learning course is estimated to take four months and comes with a one off payment of $1,279. In case you need more time to complete the course, you will be required an additional $399 for each month of access. While this allows learners to take as much time as they need, it is important to understand that drawing on the course longer can drive up the price. It is therefore important that you come up with a learning schedule and stick to it to ensure that you get the most out of this online program.

What previous graduates say

This online deep learning course has an overall rating of 4.6/5 with nearly 2500 reviews. Here are some of the feedbacks from previous learners:

This is probably the most approachable way to get into deep learning I have found thus far. The course covers a lot of interesting subjects, with (usually) good explanatory videos and walkthroughs. These always feel fresh and get you motivated for the subjects you are about to learn. As a bonus, they have gotten a few known names to present individual subjects. As an example, the introduction to GANs is done by none other than the inventor himself, which is a cool bonus!

Peter Leupi (now Principal Machine Learning Engineer at boost.ai)

This program is awesome! Honestly, I started in January with very basic knowledge of neural networks. But in a matter of a few weeks only, I was fluent enough in the jargon and had acquired strong foundations such that I could land a super cool job in Artificial Intelligence R&D! (Disclaimer: I have a Ph.D. in theoretical and computational physics which of course helps in quickly understanding deep learning and AI in general).

Martine Bertrand, 2017 Graduate (now lead AI engineer at Samasource)

This program has by far exceeded my expectations. It’s impressive that within couple of months I was able to understand what’s behind neural networks, and wake up to this huge idea. This course even made me want to drop out of mechanical engineering, to go full on Udacty’s nanodegrees on machine learning and artificial intelligence. Thanks to everyone who made it possible. I hope to stick with Udacity for a couple more nanodegrees.

Lucas Sabbatini de Barros Fonseca, 2017 Graduate (now AI engineer at SiliconLife)

Udacity Deep Learning Nanodegree course review: Final thoughts

Udacity’s reputation as the go-to online learning platform for tech and IT courses is growing by the day. This is the perfect online course for professionals who are looking to start a new career in deep learning and artificial learning. However, being a beginner course, it may not be perfect for those with extensive training in the subject.

There is no doubt that completing any Udacity Nanodegree program is a big deal with several organizations on the lookout for talent from this platform. This well-rounded course will set you on a path to becoming a deep learning expert. Take advantage of Covid-19 discount today and sign up for this online deep learning course and get 50% off!

Happy learning!

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