Learn How To Break Into AI With 2021‘s Top 13 Best Online Machine Learning Courses

Top 13 Best Online Machine Learning Courses
Best Online Machine Learning Courses

If you are seeking out some of the best online machine learning courses and certificates in 2021, you’re in the right place!

In this guide, I have gathered some great machine learning classes that will not only give you an introduction to this emerging field.

But also teach you how to build models using languages like Python and frameworks like Tensorflow and Keras.

Once you’re done with these online courses, you’ll be able to appreciate how the mysterious algorithms work. So, let’s begin!

Top 13 Best Online Machine Learning Courses & Certificates 2021


1. Demystifying Artificial Intelligence: Understanding Machine Learning (Skillshare)

1. Demystifying Artificial Intelligence Understanding Machine Learning (Skillshare)

First on my list is a short introductory machine learning course taken by over 6,000 students worldwide that is great if you’re keen to take your first step into the world of ML.

Your instructor for this course will be Christian Heilmann, a senior developer at Microsoft with more than 20 years of professional experience. Christian has also authored several JavaScript courses and books including the Developer Evangelism Handbook, so you will be learning from one of the best.

In this 1-hour online class, Christian will ‘demystify’ machine learning for his students by showing them all the applications it has produced and the value it has created, learning about its myths, how to incorporate it into a product, ethical considerations, and much more.

With a free 1-month trial of Skillshare Premium up for grabs, you can take this online machine learning course for free, along with countless others!

  • Beginner level
  • 1 hour long
  • Taught by Microsoft developer with 20+ years of experience
  • Free 1-month trial of Skillshare Premium

Activate FREE Skillshare Trial

2. Machine Learning (Coursera)

2. Machine Learning (Coursera)

If you’re searching for an online course that will teach you the theory behind machine learning and how to quickly apply it, this course can’t be missed! You will also be joining 3.5 million students who have enrolled in this class, which speaks volumes about its quality.

For this online course, students will be taught by Andrew Ng, a machine learning researcher and pioneer of a number of modern ML technologies. Andrew is also an adjunct professor at Stanford University and led the team behind the Google Brain project, so you are in very capable hands!

Over the span of 60 hours, students will work through a diverse range of machine learning topics including supervised learning, neural networks, unsupervised learning, dimensionality reduction, deep learning, best practices in the industry, the innovation process, and much more.

Don’t worry if you find yourself unable to afford the full fee, you can apply for financial aid through Coursera, and upon receiving it, complete this online course for free!

To get Coursera classes for free, check out my guide here.

  • Beginner level
  • 60 hours long
  • Taught by veteran machine learning researcher
  • Certificate of completion
  • Financial aid available

Visit Coursera.org

3. Python for Data Science and Machine Learning Bootcamp (Udemy)

3. Python for Data Science and Machine Learning Bootcamp (Udemy)

Python has become the poster language for machine learning because of the various ML and computation-focused libraries that have been built on top of it. So if you want to learn Python in conjunction with machine learning to create powerful algorithms, this is a great place to start.

Jose Portilla will be teaching you in this online machine learning course who serves as the head of data science at Pierian Data Inc. and has published 31 online courses on Udemy, teaching close to 2 million students from all over the world.

Through 25 hours of video lessons, Jose will take students through the process of mastering machine learning using Python and its libraries, by teaching them a wide range of topics including ML algorithms, Pandas, Numpy, logistic regression, neural networks, and much more.

Once you’re through with this online machine learning classes, you will get a certificate of completion that you can share with your network to let them know of your new skills!

  • Intermediate level
  • 25 hours long
  • Taught by expert data scientist
  • Full lifetime access
  • Certificate of completion

Visit Udemy.com

4. Data Science and Machine Learning with Python – Hands On! (Skillshare)

4. Data Science and Machine Learning with Python - Hands On! (Skillshare)

If you’re looking for a hands-on course rather than one that’s heavy on theory, this beginner-level machine learning course is a great place to start.

Frank Kane, a machine learning engineer who is the founder of Sundog Education, will be teaching you in this online course. Frank has over 9 years of experience working at IMDb and Amazon, and has taught close to 100,000 students across all of his lessons.

Spanning 10 hours, students will be introduced to a number of fundamental machine learning concepts from a practical angle including logistic regression, component analysis, breaking down the data into train and test splits, random forests, support vector machines, and much more!

Students also get the chance to work on a final project so that you can put your skills to the test and code your own machine learning application! Not to mention the Skillshare free trial.

  • Beginner level
  • 10 hours long
  • Taught by ex-Amazon and ex-IMDb ML engineer
  • Free 1-month trial of Skillshare Premium
  • Final project

Activate FREE Skillshare Trial

5. Artificial Intelligence Foundations: Machine Learning (LinkedIn Learning)

5. Artificial Intelligence Foundations Machine Learning (LinkedIn Learning)

Next on my list is a beginner online machine learning course that is great for those who are just starting out in the field. Taken by over 112,000 students, this class will give you the confidence needed to start digging deeper into the world of machine learning.

Doug Rose, a machine learning specialist with a master’s degree in information management will be teaching you this course, who spends his time teaching employees at Fortune 500 companies.

In this short 1 ¼ hour course, Doug will start by giving his students an overview of the machine learning landscape before taking them deeper into some popular algorithms like decision trees and various mistakes that every beginner ML engineer should be wary of.

After completing this online machine learning course, you will get a certificate of completion along with 1.8 Continuing Professional Education (CPE) units!

  • Beginner level
  • 1 ¼ hours long
  • Taught by ML specialist with master’s in IT
  • Certificate of completion
  • 1.8 CPE credits

Activate 1-Month FREE Trial

6. Machine Learning Specialization (Coursera)

6. Machine Learning Specialization (Coursera)

For those of you looking for a learning experience that involves both a wide range of theory and deep practical application, this machine learning specialization on Coursera is a great choice. More than 150,000 students have taken this intermediate-level machine learning specialization.

In this series of online courses, students will be taught by instructor duo Emily Fox and Carlos Guestrin, both of whom are Amazon professors of machine learning at the University of Washington. Together, they have published 6 courses and taught close to 400,000 students on Coursera so they are a popular teaching team!

With a recommended input of 3 hours of study per week, it is estimated to take up to 7 months to complete the 4 in-depth online courses in this specialization. Throughout the course, students will go through a number of case studies and acquire skills in classification, clustering, regression, information retrieval, and many more.

The data shows that 46% of students were able to start a new career after taking this specialization, so there’s good news for you if you’re also looking to dive into this exciting field!

  • Intermediate level specialization consisting of 4 courses
  • Takes 7 months to complete with 3 effort hours per week
  • Taught by machine learning professors from the University of Washington
  • Certificate of completion
  • Financial aid available

Visit Coursera.org

7. Machine Learning with Python: A Practical Introduction (edX)

7. Machine Learning with Python A Practical Introduction (edX)

Not only can computers learn something when it’s specified for them, but there’s a whole field called unsupervised learning where a machine learns on its own. If you’re curious about this, then check out this beginner-level online machine learning course on edX provided by IBM!

Saeed Aghabozorgi will be teaching you in this online course who has a PhD degree and works as a senior data scientist at IBM, which makes him a solid authority on machine learning using Python.

Through 5 weeks of self-paced learning, students will develop a strong skillset in machine learning and get a solid grasp of topics like classification, regression, clustering, dimensionality reduction, train/test split, root mean squared error, random forests, and much more.

If you’re worried about actually being able to implement what you learn, don’t worry – this online course will give you ample hands-on learning through loads of applied ML labs!

  • Beginner level
  • Takes 5 weeks with 4-6 effort hours per week
  • Taught by senior data scientist from IBM
  • Certificate of completion
  • Free to audit course contents

Visit edX.org

8. Deep Learning Specialization (Coursera)

8. Deep Learning Specialization (Coursera)

Ever wondered how self-driving cars figure out what’s in front of them? Or how your computer knows that you’ve loaded a cat image onto the screen? This online machine learning specialization will teach you all of that by showing you how deep neural networks work!

Andrew Ng, the founder of Landing AI and the former Chief Scientist at Baidu, will be teaching you in this specialization. Andrew has earned the ‘Top Instructor’ badge on Coursera for having taught close to 5 million students through his machine learning courses.

In the 4 months students will spend completing the 5 online courses in this specialization, they will develop both a hands-on feel for coding neural networks and a good overview of various technologies. Modules covered include convolutional networks, recurrent networks, and much more.

Completing this specialization will give you the skills necessary for pursuing a full-fledged career as a machine learning engineer, so get ready to dive into the job market!

  • Intermediate level specialization consisting of 5 courses
  • 4 months long with 5 effort hours per week
  • Taught by development lead of Google Brain
  • Financial aid available
  • Certificate of completion

Visit Coursera.org

9. Applied Machine Learning: Algorithms (LinkedIn Learning)

9. Applied Machine Learning Algorithms (LinkedIn Learning)

So many online courses teach machine learning theory, but very few help you pick the right tools to solve a machine learning real-world problem. If that’s what you need help with, go ahead and enroll in this beginner-level online machine learning course!

Your instructor for this online course will be Derek Jedamski, a data scientist who is an expert in machine learning. Derek currently works at GitHub and has a strong grasp on a number of machine learning algorithms and programming languages, so you are being taught by a real expert in his field.

In this 2 ½ hours long online course, Derek will take students through the algorithms that are responsible for making machine learning possible in reality. Topics covered include algorithms like logistic regression and gradient descent and how to select the best one for the job at hand.

Here’s the best part: if you’re a new user on LinkedIn, you can take this online machine learning course for free, and earn a certificate of completion while you’re at it!

  • Beginner level
  • 2 ½ hours long
  • Taught by data scientist from GitHub
  • Certificate of completion
  • Free access for new LinkedIn users

Activate 1-Month FREE Trial

10. Machine Learning, Data Science and Deep Learning with Python (Udemy)

10. Machine Learning, Data Science and Deep Learning with Python (Udemy)

Next on my list is a popular online machine learning course taken by over 135,000 students, and you can join them! This intermediate-level online course will teach you the methods and frameworks you can use to start applying state-of-the-art machine learning to real problems.

In this online course, you will be taught by Frank Kane, the founder of Sundog Education who has spent more than 9 years working in machine learning roles for companies like Amazon and IMDb, and he even has 17 patents registered to his name.

Through 14 hours of on-demand video lessons, Frank will take students through a diverse journey, going over topics like building neural networks using Keras and Tensorflow, visualizing data through MatPlotLib, classifying data using decision trees, and much more.

If (after a few years) you find yourself forgetting concepts from this online course, there’s no need to worry because with full lifetime access, you can go back and access the contents at any time!

  • Intermediate level
  • 14 hours long
  • Taught by founder of Sundog Education
  • Certificate of completion
  • Full lifetime access

Visit Udemy.com

11. Applied Machine Learning: Foundations (LinkedIn Learning)

11. Applied Machine Learning Foundations (LinkedIn Learning)

With such a wide range of machine learning tools and approaches to solve any given problem, how do you select the one suited to the task? If this is a question you’ve been struggling with, get enrolled in this intermediate-level online machine learning course, and learn the answer!

As for your teacher, Derek Jedamski, a data scientist at GitHub who specializes in machine learning, is back to instruct you in this online course. Derek’s online course has been taken by over 35,000 professionals on LinkedIn, proving its popularity and effectiveness.

In this 2 ½ hours long online course, students will get a solid overview of machine learning and its applications by covering topics like the difference between machine learning and deep learning, how to handle common challenges, plot continuous features, measure success, and much more.

To improve the quality of your learning, you can join a learning group on LinkedIn dedicated to this online course to share and discuss problems, ideas, and solutions! Overall, one of the best online machine learning courses!

  • Intermediate level
  • 2 ½ hours long
  • Taught by GitHub data scientist
  • Certificate of completion
  • Free access for new LinkedIn users

Activate 1-Month FREE Trial

12. Deep Learning A-Z™: Hands-On Artificial Neural Networks (Udemy)

12. Deep Learning A-Z Hands-On Artificial Neural Networks (Udemy)

Much of the recent progress in machine learning has been due to the development of deep learning, a technique that allows computers to learn highly complex functions. In this online course, you will grasp the intuitions behind deep learning, and implement them for yourself!

Kirill Eremenko and Hadelin de Ponteves, two data science and machine learning experts, will be teaching you in this online machine learning course. Together, the duo has published over 100 courses on Udemy, teaching more than 1 million students from all around the world so you know they deliver quality!

Through 22 ½ hours of video lessons, students go through the fundamental technologies in deep learning and learn how to implement them, covering topics such as artificial, convolutional, and recurrent neural networks, Boltzmann machines, auto-encoders, and much more.

To show everyone the new skills you’ve acquired to attract potential employers, you will get a certificate of completion at the end of this online course!

  • Intermediate level
  • 22 ½ hours long
  • Taught by 2 machine learning experts
  • Certificate of completion
  • Full lifetime access

Visit Udemy.com

13. Professional Certificate in Tiny Machine Learning [TinyML] (edX)

13. Professional Certificate in Tiny Machine Learning [TinyML] (edX)

Taking the last slot on my list is a unique online machine learning program on edX that goes into the world of ‘tiny’ microcontrollers and ML models that run on these devices. This is the perfect choice for you if you’re an embedded systems enthusiast and want to use ML in your projects.

You will be taught in this online program by a trio of machine learning experts: Vijay Janapa Reddi, an associate professor at Harvard, Laurence Moroney, the lead AI advocate at Google, and Pete Warden, the technical lead of Tensorflow Mobile and Embedded at Google.

In the 4 months spent completing the 3 online courses in this professional certificate program, students will learn everything needed to start using machine learning with embedded systems, a program in specialized frameworks, gather data effectively, and much more.

Because of the self-paced nature of this professional certificate, you don’t need to worry about recurring deadlines – you choose when to work and when to break!

  • Intermediate level program consisting of 3 courses
  • 4 months long requiring 2-4 effort hours per week
  • Taught by trio of machine learning experts from Harvard and Google
  • Certificate of completion
  • Self-paced learning

Visit edX.org

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