10 Best Machine Learning & Deep Learning Courses

A team of 50+ global experts has done in depth research to come up with this compilation of Best Machine Learning and Deep Learning Course for 2019. All these courses are available online and will help you learn and excel at Machine Learning and Deep Learning. These are suitable for beginners, intermediate learners as well as experts. This compilation is reviewed and updated monthly.

  • 1. Machine Learning Certification by Stanford University (Coursera)
  • 2. Deep Learning Certification by deeplearning.ai (Coursera)
  • 3. Machine Learning A-Z™: Hands-On Python & R In Data Science (Udemy)
  • 4. Machine Learning – Artificial Intelligence by Columbia University (edX)
  • 5. Mathematics for Machine Learning by Imperial College London (Coursera)
  • 6. Deep Learning A-Z™: Hands-On Artificial Neural Networks (Udemy)
  • 7. Python for Data Science and Machine Learning Bootcamp (Udemy)
  • 8. Deep Learning Course by IBM (edX)
  • 9. Machine Learning Online Classes (Pluralsight)
  • 10. Advanced Machine Learning Course by HSE (Coursera)

1. Machine Learning Certification by Stanford University (Coursera)

Stanford Coursera Course

This is the single highest rated course on Machine Learning on the entire internet. Created by Andrew Ng, Co Founder of Coursera and Professor at Stanford University, the program has been taken up by more than 1,678,000 students & professionals globally, who have given it an average rating of a whooping 4.9 out of 5. One look at the testimonials and you will know why we so highly recommend it.

The topics covered in the course include supervised learning, best practices and innovation in ML and AI, while you also get to encounter numerous case studies and applications among a host of other things. One of the best part about the course is that you can enroll for a 7 day trial before going on to purchase the entire course. If you were to take our word for it, this is hands down the best program for the subject on the internet.

Duration : Approx 55 hours

Rating : 4.9 out of 5

You can Sign up Here

Review : This course provides a thorough, end-to-end immersion into the world of machine learning. Not only does it cover clear explanations of theory, but it also highlights practical pointers and words of caution. Highly recommended course.

2. Deep Learning Certification by deeplearning.ai (Coursera)

deeplearning coursera course

One of the most renowned instructors of Deep Learning, Andrew Ng brings to you this special course developed in association with Stanford Professors and nvidia|deep learning institute as industry partners. Andrew Ng is the Co Founder of Coursera and has headed the Google Brain Project and BaiduAI group in the past.

In this program spread across 5 courses spanning few weeks, he will teach you about the foundations of Deep Learning, how to build neural networks and how to build machine learning projects. Most importantly, you will get to work on real time case studies around healthcare, music generation and natural language processing among other industry areas. More than 110,000 students have already enrolled for this program from all over the globe. Without a doubt, this is the Best Deep Learning Course out there. You may want to check out more Deep Learning Certifications.

Duration : Approx 3 months

Rating : 4.9 out of 5

You can Sign up Here

Review : Best course so far in deep learning specialization. Explains systematic ways of improving the performance of your machine learning system rather than trying in an ad-hoc manner.

3. Machine Learning A-Z™: Hands-On Python & R In Data Science (Udemy)

Let us just begin by absorbing the fact that 201,000+ students have taken this course and it has an average rating of 4.5 out of 5. We consider this as one of the Best Machine Learning Course and it is developed by Kirill Eremenko, Data Scientist & Forex Systems Expert and Hadelin de Ponteves, Data Scientist.

This course will help you Master Machine Learning on Python and R, make accurate predictions, build a great intuition of many machine learning models, handle specific tools like reinforcement learning, NLP and Deep Learning. Most importantly it teaches you to choose the right model for each type of problem. Basic high school mathematics is all you are supposed to know to take up this course. With 40 hours of learning + 19 articles, we don’t know what else we should say to make you check this out. You can also have a look at some Machine Learning Certifications.

Duration : 41 hours

Rating :4.5 out of 5.

You can Sign up here

Review – The course was well thought of and well articulated. It was a perfect pedestal for the next level of endeavors. The intuition explanation was short, sweet and enough to rouse interest in the topic and solidify basic understanding. – Sidhartha Mishra

4. Machine Learning – Artificial Intelligence by Columbia University (edX)

This micromasters program designed by Columbia University brings you a rigorous, advanced, professional and graduate level foundational class in AI and its subfields like machine learning, neural networks and more.

With a total of 4 courses in this program go over the important concepts of this topic none by one. Gain a solid foundation of the guiding principles of AI and apply the knowledge of machine learning to real-world challenges and applications. Along with this, you will also learn to design neural networks and utilize them to work on relevant problems. By the end of the program, you will have the adequate practical knowledge to enhance your portfolio, apply to relevant job profiles or go freelance.

Duration: 4 courses, 12 weeks per course, 8 to 10 hours per week, per course

Rating : 4.5 out of 5

You can Sign up Here 

5. Mathematics for Machine Learning by Imperial College London (Coursera)

It is safe to say that machine learning is literally everywhere today. Many of us take numerous courses to learn the various concepts in this topics but unfortunately, one of the crucial parts of this field is often overlooked. This specialization aims to bridge that gap and helps you to build a solid foundation in the underlying mathematics, its intuitive understanding and use it in the context of machine learning and data science. Start with Linear Algebra and Multivariate Calculus before moving on to more complex concepts. By the end of the classes, you will have a strong mathematical footing to take more advanced lessons in ML and become a professional.

Duration: 4 to 6 weeks of study, 2 to 5 hours per week

Rating: 4.6 out of 5

You can Sign up Here 

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

Created by Kirill Eremenko and Hadelin de Ponteves, this is one of the Best Deep Learning Course that you will find out there. It will help you understand the intuition behind Artificial Neural Networks, Recurrent Neural Networks, Self Organizing Maps, Boltzmann Machines, Auto Encoders and teach you how to apply them. The thing with AI is, that the more it advances, the more complex become the problems it needs to solve.

Deep Learning helps solve such complex problems and that’s why it’s at the heart of Artificial intelligence. This course will get you to the heart of deep learning and at a rating of 4.5 out of 5, we think it is a really good choice for you.

Duration : 22.5 hours

Rating : 4.5 out of 5

You can Sign up here

Review : This is the third course i concluded with Kirill and Hadelin, the experience is always very pleasant with a lot of content and things to learn. This specific course brings lavish recommendation articles and texts so you can go deeper into the more complex supervised and unsupervised algorithms. For me, always an A+. – Leandro Coriolano

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

‘Data Scientist’ has been ranked as a topmost sought after job on Glassdoor and the average remuneration of a data scientist is above $120,000 in the United States itself. This comprehensive course will help you understand how to use Python to analyze data, create beautiful visualizations and use powerful machine learning algorithms. You will specifically get to learn how to use NumPy, Seaborn , Matplotlib, Pandas, Scikit-Learn, Machine Learning, Plotly, Tensorflow and more.

Course has been designed by well renowned online instructor Jose Portilla, a BS and MS in Engineering from Santa Clara University. Even Tan Apaydin, who has a PhD in computer science highly recommends this course.

Duration : 22.5 hours

Rating : 4.6 out of 5

You can Sign up here

Review : Woah! This course covered a ton of material – data analysis, data visualization, and machine learning (including deep learning)! It was a pleasure to take this course. It was definitely worth it for me, even though I have already taken several machine learning courses in the past. 🙂 – John Rattz

8. Deep Learning Course by IBM (edX)

With this domain gone mainstream in recent years, IBM brings this certification to you to help you explore the nooks and crannies of this subject and jump-start a career in this field. With a series of courses delve into the concepts and applications of deep learning along with the various forms of neural networks for both supervised and unsupervised learning. Build models and algorithms by using different libraries such as TensorFlow, PyTorch, and Keras.Leverage GPU accelerated hardware for object recognization, image and video processing, and natural language processing at a large scale. Work on hands-on labs, assignments, and real-world projects and end the classes by completing a capstone project that can be showcased in your resume.

Duration: 5 courses, 5 to 6 weeks per course

Rating : 4.6 out of 5

You can Sign up Here 

9. Machine Learning Online Classes (Pluralsight)

If you want to learn about the different aspects of ML and how it can be used to enhance your business, work or project then you are at the exact right place. With a combination of courses, certification, and blogs, it is safe to say that this platform has a lot to offer. If you want to get a strong foundation in this field then go over the introductory classes designed for the beginners or take lectures based on your experience level. The certifications and programs are divided into three levels- beginner, intermediate and advanced and can be taken as per your requirement.

Duration: Self-paced

Rating : 4.6 out of 5

You can Sign up Here

10. Advanced Machine Learning Course by HSE (Coursera)

This certification course has been developed by a team of 21 lecturers, professors and researchers; and it is an advance level journey in to the world of ML. Only those with basic or intermediate knowledge around the subject should enroll for this one. You will be taught about natural language understanding, reinforcement learning, computer vision and Bayesian methods. Some of the trainers for this program include Pavel Shvechikov, Researcher at HSE and Sberbank AI Lab, Anna Kozlova, Team Lead; Evgeny Sokolov, Senior Lecturer; Alexey Artemov, Senior Lecturer and Sergey Yudin, Analyst-developer among multiple other trainers.

Duration : Flexible Schedule

Rating : 4.8 out of 5

You can Sign up Here

Bonus Courses

11. Machine Learning Courses for Beginners (LinkedIn Learning – Lynda)

With over 25 courses, this set of training covers almost every possible knowledge that could be required to get started with machine learning and put your skills to practical use. There are lectures based on various platforms such as Amazon Web Services, Google Cloud Platform and you can take your pick as per your convenience. Get a basic understanding of artificial intelligence and machine learning concepts with the essential training and take lessons such as NLP with Python to get hands-on with projects. By the end of the classes, you will be well equipped with the skills covered in the videos and ready to take on more challenging specializations.

Duration: Self-paced

Rating : 4.6 out of 5

You can Sign up Here 

12. Machine Learning Certification by University of Washington (Coursera)

University of Washington

This is an advanced level certification and participants should come with basic or intermediate level understanding of the subject before enrolling. Taught by Emily Fox and Carlos Guestrin, both Amazon Professors of Machine Learning, it is a comprehensive course spread over the period of multiple weeks. Key areas covered in the course include Clustering, Information Retrieval, Prediction, Classification among all other relevant topics.

Duration : Approx 6 months

Rating : 4.8 out of 5

You can Sign up Here

Review – Great course! I love the instructors and the thoroughly designed structure of their course. The effort they put into this course certainly shines through every video!

13. Machine Learning Data Science Course from Harvard University (edX)

Harvard Online Courses

This Harvard Certification comprises 9 courses that include including Machine Learning, R. Probability, Linear Regression and much more. This comprehensive program is one of the best rated programs available on the subject online. You will also learn about Inference and Modeling, Productivity Tools and Wrangling to be followed with a Capstone project where you will create a project based on guidelines and have it assessed. The professor of this course is Rafael Irizarry, Professor of Biostatistics at Harvard University.

Duration : 9 courses, approx 4 weeks per course

Rating : 4.6 out of 5

You can Sign up Here

14. Complete Guide to TensorFlow for Deep Learning Tutorial with Python

Jose Portilla has another highly rated and recommended course online, and this one’s about Deep Learning. Targeted towards fans of Python, this training will cover a variety of topics including Neural Network, TensorFlow, Artificial Neural Networks, AutoEncoders Reinforcement Learning and more.

In trying to make you a true Deep Learning Guru, Jose will teach you how to build your neural network from scratch with Python, using TensorFlow for a variety of applications such as Image Classification with Convolutional Neural Networks, Time Series Analysis with Recurrent Neural Networks and solving Unsupervised Learning Problems with AutoEncoders.

Complete Guide to TensorFlow for Deep Learning with Python Review : Excellent

Rating : 4.6 out of 5

You can Sign up Here

Review : Excellent course. Portilla sets a pedagogical curve. Responsive Q&A, and reliable and regularly updated course materials are made available. Good foundation to a broad array of well-established and cutting-edge topics, and many useful external resources provided. – Jack Rasmus-Vorrath

15. Machine Learning University Courses Online (edX)

Covering one of the most powerful technological advancement out there, this program promises to help you add an impressive skill to your resume. Explore the various topics of machine learning and artificial intelligence and gain a strong understanding of the concepts with the help of these certifications and programs. Learn with an abundant amount of tips and tricks from the instructor along with examples based on real life situations. Build complex data models, explore data classifications, regression and clustering and more. There are a total of 12 certifications under this path and each of them covers the different subtopic under AI and ML.

Duration: Self-paced

Rating : 4.6 out of 5

You can Sign up Here 

16. Data Science and Machine Learning Tutorial with Python – Hands On!

Frank Kane, the author of this course spent 9 years at Amazon and IMDb, developing and managing the technology that automatically that powers movie and product recommendations which influence millions of people around the world. With that kind of experience, no wonder even Ph.D students like Robert Crabbs are all praisesabout the program.

In technical terms, this machine learning tutorial will help you extract meaning from large data sets using a wide variety of data science, data mining and machine learning techniques using Python. Along with that, you will get to apply your learning as well.

Data Science and Machine Learning with Python Review : Very Good

Rating : 4.5 out of 5

You can Sign up here

Review : Clear an simple explanation. Excellent real world examples that are easy to digest an open up exciting possibilities when thought through further. Well done! Thanks so much, Frank! – Raymond Neo

17. Data Science and Machine Learning Bootcamp with R

If all the previous courses concentrated on Python, this one is about R. With over 100 lectures  and detailed code notebooks, this is one of the most comprehensive course for machine learning and data science. One of the best parts about the course is its instructor. Jose Marcial Portilla, has a BS and MS in Engineering from Santa Clara University and has been working as a professional instructor and trainer for Data Science & programming for many years now.

With his rich experience, you’ll get to learn how to program with R, to create amazing data visualizations, and use Machine Learning with R. You will also learn Programming with R, Advanced R Features, Using R Data Frames to solve complex tasks, using R to handle Excel Files, Web scraping with R, Connecting R to SQL and more. With very good reviews praising the program’s technical aspects, we recommend this one for R fans.

Data Science and Machine Learning Bootcamp with R Review : Excellent

Rating : 4.7 out of 5

You can Sign up here

Really good course to build up expertise in R. Machine learning explanation is less but adequate. Points you in the right direction if you want to explore mathematics behind the concepts. 4.5 stars for an excellent course in R and an introduction to ML concepts. – Nitin Sharma

18. Scala and Spark for Big Data and Machine Learning Tutorial

If Python or R aren’t your cup of tea, this training helps you learn Scala and Spark for Big Data and Machine Learning. It will act as a crash course in Scala Programming, Spark and offer a Big Data Ecosystem overview using Spark’s MLlib for Machine Learning.

All that is required to sign up for this training is basic math skills and some programming knowledge in any language. The course will help you learn machine learning online and comes with full projects helping you analyze financial data and use machine learning.

Scala and Spark for Big Data and Machine Learning Review : Very Good

Rating : 4.4 out of 5

Scala and Spark fans, you can Sign up here

Review : Best course and Highly recommended for beginners. Instructor designed the course brilliantly. Lot of concepts taught in a simple manner in a way to understand clearly. By not getting into complex IDE stuff, things are explained nicely. Good Work. – Karvendhan

19. Artificial Intelligence: Reinforcement Learning in Python

This is for the ones with intermediate level knowledge on the subject. To get started, you will need to have some understanding of Calculus, Probability, Markov Models, Numpy Stack and some experience with few supervised ML methods. This one is clearly not for the beginners, but for all those looking at some serious insights and preparing for the future, this is it. The coach has trained more than 50,000 students and is reputed for the domain. The trainer ‘Lazy Programmer’ has many great courses to his name and some of the titles include Linear Regression in Python, Logistic Regression in Python, Practical Deep Learning in Theano and TensorFlow, Unsupervised Deep Learning, Recurrent Neural Networks in Python Artificial Intelligence.

Artificial Intelligence: Reinforcement Learning in Python Review : Excellent

Rating : 4.6 out of 5

You can Sign up here

Review : The course is pretty good. Well organized and the author answers to questions about the lecture personally. I highly recommend it. – Michael Yu

20. Advanced AI: Deep Reinforcement Learning in Python

If you want to master Artificial Intelligence using Deep Learning and Neural Networks, then this is the right choice for you. Learn to use advanced reinforcement learning algorithms for a variety of problems and understand Reinforcement Learning with RBF Networks. You should be aware of reinforcement learning basics, Dynamic Programming and/or TD Learning in order to enroll for this program.

Review : Very Good

Rating : 4.7 out of 5

You can Sign up Here

Well put together and a great learning experience. State of the art techniques and each topic comes with a coding example to show how its used. Definitely a good way to spruce up your deep learning skills. – Freddy Shau

Machine Learning and Deep Learning are the future and the future is already here. Predicting the future has been a coveted skill since time immemorial, but it is only now that technology allows us to truly predict with precision. We did exhaustive research and came up with the Best Machine Learning Courses, Best Deep Learning Courses and Best AI Courses which cover various aspects, technologies and programming languages such as Python, R, Deep Learning, Data Science, Scala, Spark 2.0, Neural Networks, Cluster Analysis and much more.

Each of these training programs concentrate on different aspects of the subject and you can choose one (or more) depending on what best fits your requirement. Needless to say Machine Learning is presently a hot favourite when it comes to the job circuit or other career opportunities. Skilled professionals are much sought after all around the world and these courses will help you add the requisite skill set to your professional careers, not just pumping up your CV but truly helping you skill and scale up and prepare you for 2019.

P.S : Some of the links in the article may be affiliate links.


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