10 Best Machine Learning Certification & Training

Our team of global experts has done in depth research to come up with this compilation of Best Machine Learning Certification, Tutorial & Training for 2019. All these resources to learn Machine Learning are available online and are suitable for beginners, intermediate learners as well as experts

  • 1. Machine Learning Certification by Stanford University (Coursera)
  • 2. Deep Learning Certification by DeepLearning.ai – Andrew Ng (Coursera)
  • 3. Machine Learning Data Science Certification from Harvard University (edX)
  • 4. Machine Learning – Data Science Certification from IBM (Coursera)
  • 5. Machine Learning with TensorFlow on Google Cloud Platform
  • 6. Machine Learning Certification by University of Washington (Coursera)
  • 7. Machine Learning Training A-Z™: Hands-On Python & R In Data Science (Udemy)
  • 8. Mathematics for Machine Learning (Coursera)
  • 9. Data Science Specialization – John Hopkins University (Coursera)
  • 10. Python for Data Science and Machine Learning Training (Udemy)

1. Machine Learning Certification by Stanford University (Coursera)

Stanford Coursera Course

This is one of the most sought after certifications out there because of the sheer fact that it is taught by Andrew Ng, former head of Google Brain and Baidu AI Group. For a certification to receive a rating of 4.9 out of 5 is no mean feat and the fact that it is associated with Stanford University simply adds much more credibility to the program. The topics that will be covered include Supervised learning, Unsupervised learning, best practices in machine learning and the program structure will be based around multiple case studies and applications, to help you learn how to apply algorithms to build smart robots, text understanding,  medical informatics, database mining and other areas. This is undoubtedly the Best Machine Learning Certification out there and we give it two thumbs up! This is undoubtedly the best machine learning certification you can opt for.

Rating : 4.9 out of 5

You can Sign up Here

Review : The instruction was helpful. There was enough rigorous derivation for context, but the focus was on the practical use of machine learning techniques. The exercises were excellent. They included simple, principled examples that demonstrated the fundamental concepts, as well as realistic applications that demonstrated their usefulness. There was also solid support from mentors. I would highly recommend this course. It’s my first time using Coursera, and I plan to enroll in another class as soon as I’m done with this one. Thanks.

2. Deep Learning Certification by DeepLearning.ai – Andrew Ng (Coursera)

deeplearning coursera course

A lot of learners, opt to learn Deep Learning along with Machine Learning. If that’s whats on your mind, then this is undoubtedly one of the most sought after deep learning courses out there. In this training, you will learn about the foundations of Deep Learning, learn to build neural networks and also understand all about machine learning projects. There will be real time case studies including sign language reading, music generation and natural language processing among others. Most importantly, this is taught by one of the pioneers in this industry, Andrew Ng.

Rating : 4.7 out of 5

You can Sign up Here

Review : Course content is very good. Andrew Ng’s style of teaching is phenomenal. He has a knack for uncomplicating an otherwise complex subject matter. Highly recommended for anyone who is trying to understand the fundamentals of neural networks and deep learning.

3. Machine Learning Data Science Certification 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

4. Machine Learning – Data Science Certification from IBM (Coursera)

If you have decided to pursue a career in Data Science or machine learning then this is a fairly good place to begin. This certification consists of a series of 9 courses that help you to acquire skills that are required to work on the projects available in the industry. The lectures cover a wide range of topics including data visualization, analysis, libraries, and open source tools. By the end of the program, you will have multiple assignments and projects to showcase your skills and enhance your resume.

Duration: 3 to 5 weeks per course, 2 to 7 hours per week

Rating: 4.6 out of 5

You can Sign up Here 

5. Machine Learning with TensorFlow on Google Cloud Platform

With over 2.5 quintillion bytes of data being generated around the world on a daily basis, it is safe to say that data is power. Composed of 5 courses this specialization promises to take you from an overview of the importance of Machine Learning to lectures about building ML models. The program starts with introductory level lessons that cover what machine learning is capable of and why is it so popular followed by classes that focus on Tensorflow, an open source machine learning framework. These set of lectures aim to help you to create, train, deploy ML models, solve numerical problems and much more. There are also numerous hands-on opportunities to enhance the accuracy of ML using the various features available on the Google Cloud Platform.

Duration: 8 to 10 weeks, 8 to 10 hours per week

Rating: 4.5 out of 5

You can Sign up Here

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

University of Washington

This is an intermediate specialization which means that you should have some related experience before signing up for this program. This training is spread over the course of few months to help you get a comprehensive understanding and become proficient at machine learning. Taught by Emily Fox and Carlos Guestrin, who are both Amazon Professors of Machine Learning. Based around practical case studies, you will learn all about Prediction, Classification, Clustering, Information Retrieval and other areas surrounding the topic.

Rating : 4.6 out of 5

You can Sign up Here

Review : Excellent course, really appreciate the your hard work in creating easy to follow course, very good slides and presenting information and explanations step by step…. oh and also love the on-screen chemistry between both of you and engaging style with students. It has been an enjoyable course. Please keep up the good work.

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

Close to 200,000 students have attended this Machine Learning training so far with a high rating of 4.5 out of 5! Trainers Kirill Eremenko and Hadelin de Ponteves along with their Super DataScience Team has put together this brilliant program to help you create Machine Learning Algorithms in Python and R. All you need to attend this training is high school level mathematics understanding or basic level learning of algorithms such as linear regression and logistical reason. It is a 40.5 hour long comprehensive course that will offer you all details and knowledge required to excel in this field. This is one of the best machine learning tutorial in our opinion.

Rating : 4.5 out of 5

You can Sign up Here

Review : Kirill and Hadelin really took time to design the course such a way that understand the Concept very easily, even though if you don’t have any previous knowledge. On Top of it , specially having perfectly designed templates for various algorithms will make you feel very comfortable . Throughout the course if you follow the video , you are sure to get the concept of machine learning. And at the end of the course I’m quite confident to face any challenge in Machine learning world . – Prantik Bala

8. Mathematics for Machine Learning (Coursera)

This course 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 

9. Data Science Specialization – John Hopkins University (Coursera)

John Hopkins Coursera Course

This specialization program from John Hopkins will help you put your first step into the world of data science and machine learning. In 9 sessions, the trainers will help you learn all aspects of data science, followed by a capstone project to try out all that you learn in the course. The tutors of this program include Roger D. Peng, Brian Caffo and Jeff Leek and together they will teach you about R Programming, Exploratory Data Analysis, Statistical Inference in addition to many other aspects and areas of data science.

Rating : 4.5 out of 5

You can Sign up Here

Review : I felt this course covered an adequate distribution of introductory material in the right amount of time. In particular, the swirl() library is incredibly helpful and well-designed.

10. Python for Data Science and Machine Learning Training (Udemy)

Jose Marcial Portilla is an MS and he comes with years of experience as a professional instructor and trainer for Data Science and programming. He has over time provided in person training to employees of organisations such as General Electric, The New York Times, Credit Suisse and many more. Having said all of that, you would know by now that you are in absolute safe hands if you decide to go for this online Bootcamp with him. You will get to learn all about K-Means clustering, Matplotib for Python Plotting, Neural Networks, understand how to use Spark for Big Data Analytics and naturally learn how to implement Machine Learning Algorithms. This training has already been attended by a whooping 90,000+ students and has a high rating of 4.6 out of 5! This course that stretches for 21.5 hours comes highly recommended from our side, and is one of the best machine learning training out there.

Rating : 4.6 out of 5

You can Sign up Here

Review : An excellent course – well-structured, thorough, and engaging. This course can serve as a model for technical courses on Udemy. The only significant issue I encountered was some of the TensorFlow content was slightly out of date but that’s unsurprising with such a fast-moving, cutting-edge open source project like TensorFlow, so I didn’t knock the rating because of it. – Jason Scott

Bonus Courses

11. Data Science, Deep Learning, & Machine Learning Tutorial with Python

Frank Kane is another champion when it comes to teaching online courses and this training is no different. Having spent 9 years at Amazon and IMDb, Frank actually developed the technology that today gives product and movie recommendations which we see on these portals. He holds 17 patents in the field of machine learning,data mining and distributed computing and since 2012 has been concentrating on his venture ‘Sundog Software’ which brings us this training. In this training, he will teach you how to visualize data distributions, probability mass functions, probability density functions in addition to helping you demystify how to use covariance and correlation metrics, use Bayes’ Theorem to identify false positives and visualize data with matplotlib.

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

12. Advanced Machine Learning Certification by Higher School of Economics (Coursera)

Developed and taught by a team of 21 lecturers, professors and researchers; this is your deep dive into the world of machine learning and only meant for ones with basic knowledge about the subject. You will learn all about deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. CERN scientists will share experiences of solving real-world problems to help you understand how all this works in practice and not just theory. At the end of this 7 course curriculum, you will get to apply modern methods in businesses and industries. For all those who are keenly interested in going deep inside a topic, we think this is the best machine learning certification for you.

Rating : 4.8 out of 5

You can Sign up Here

Review : This course is amazing. Taught by experts in the field with a proven track record of outstanding performance in Kaggle competitions. They teach how to fine tune ML models to achieve better performance. My choice for best course on Coursera!

13. Data Science and Machine Learning Tutorial with R

This is for all those who want to learn how to use the R programming language for data science and machine learning. Jose, an expert in the domain helps you learn how to Program in R, use R for data analytics, data science and how to make use of R for machine learning algorithms. Basic math skills are all you need in order to get going with this training, and in this 17.5 hour course, Jose will inspire you enough to help you go from being a nobody to a well informed somebody in the domain of machine learning!

Rating : 4.6 out of 5

You can Sign up Here

Review : Great course, amazing teacher. Although I have a background in software development and databases, I had never used R before or employed statistical methods. After taking this course, including the recommended reading and the exercises, I feel confident in being able to use R and the machine learning methods covered in the course. – Peter Mancoll

14. Data Science with Python – University of Michigan

University of Michigan

This specialization from the University of Michigan will help you master data science using python. The course includes training on tool kits such as matplotlib, nltk and networkx including others. You will be taught about Applied Plotting, Applied Machine Learning, Applied Text Mining and Applied Social Network Analysis. The trainer for the program are Christopher Brooks, Kevyn Collins-Thompson and Daniel Romeroand V. G. Vinod Vydiswaran. A sought after course, it is available on coursera and can be accessed online. The duration spans across a few weeks and it culminates in a capstone project to practice all that you learn.

Rating : 4.5 out of 5

You can Sign up Here

Review : Very helpful to understand what it takes to make a scientific and sensible visual. Recommended for someone who is interested in learning data visualization and does not have a background.

There is a high chance you reached this blog post because of Google’s own Machine Learning algorithm controlled by Rank Brain. You don’t see it, but it’s all around. Machine Learning, Deep Learning and AI are taking over the technology ecosystem one step at a time and there is no way you can stay behind when it comes to upgrading your skills in the domain. To help you save time, we have shortlisted best training and certifications on the topic. Hope this is helpful for you.

So those folks were our choice of the Best Machine Learning Training and Certifications which you can attend online. These are based on most recent standings and are updated for 2018. We recommend you to check out Blockchain Courses, Best Python Certification, Artificial Intelligence Courses and Best Data Science Tutorial as well. We wish you all the best and hope you learn, get empowered and grow in your career 🙂

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


Leave a Reply

Your email address will not be published.

Back to top