10 Best Machine Learning Certification [2020]

Kshitij Anand
Mar 08, 2020   •  0 views

1. Machine Learning Certification by Stanford University (Coursera)

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 an ml 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! Don’t forget checking out our compilation of some of the Best Machine Learning Course as well.


Key USPs –

– One of the best courses to begin with Machine learning concepts and techniques used in daily work life

– Get a broad introduction to machine learning, data mining, and statistical pattern recognition with the all necessary topics

– Learn some of the best practices in innovation that are inspired by Silicon Valley as it pertains to machine learning and AI

– Learn to apply learning algorithms for developing smart robots, test understanding, computer vision, audio, and other areas

– Avail multiple video lectures, guides, notes, and practice exercises to excel your knowledge in machine learning concepts

– Earn a professional certificate that can be used to display your skills to employers


Duration: 2 weeks

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. Machine Learning: From Data to Decisions (MIT Professional Education)

Participants will gain a practical understanding of the tools and techniques used in machine learning applications. In the MIT tradition, you will learn by doing. There are no prerequisites in terms of math or computational science, although basic understanding of statistics is helpful. This is not a coding course, but rather an introduction to the many ways that machine learning tools and techniques can help make better decisions in a variety of situations.


Key USPs-

– On your journey to learning MIT Professional Education’s Machine Learning: From Data to Decisions online program, you’ll be in good company. Past participants come from a wide range of industries, job functions, and management levels.

– This online program requires no prerequisites in terms of math or computational sciences, although some experience with introductory-level statistics is helpful.

– This online program takes a look at machine learning through a lens of practical applications. It is designed specifically for professionals who want to develop a competitive edge by turning what is unknown into what’s known-leading to better decisions and outcomes.

– Faculty: Devavrat Shah is a professor with the department of electrical engineering and computer science at MIT.

– Certificate: Get recognized! Upon successful completion of the program, MIT Professional Education grants a certificate of completion to participants.


Duration: 8 weeks

Rating: 4.8 out of 5

You can Sign up Here 



3. Coursera Machine Learning Certifications (Coursera)

Individuals who are confused about where to start their machine learning journey can take help from these courses provided by Coursera. All these courses and classes are designed and reviewed by experienced professionals of top-rated universities around the world. These courses focus on creating systems to utilize and learn from large sets of data, so you will cover a wide variety of topics during the classes. Also, if you already have some basic knowledge of machine learning, then you can begin with the intermediate or advanced courses. These courses are included with a certification program, which means you will receive a certificate of completion on finishing the course. In case you are interested in diving deep into Python, then we have got the compilation of  Python Course just for you.


Key USPs –

– Cover a wide variety of topics like predictive algorithms, natural language processing, statistical pattern recognition, and many more

– Enroll in master’s degree programs if you want to earn a professional degree in machine learning

– Get access to valuable resources, videos, articles, and other download resources to take your knowledge to the maximum

– Practice your skills and improve your experience with the help of quizzes, practice exams, and video tutorials

– Some of these courses are absolutely free to enroll, so you have to pay any hidden cost to avail them


Duration: Self-paced

Rating: 4.7 out of 5

You can Sign up Here



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

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. You may also be interested in checking out our take on Best Data Science Courses.


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.



5. Machine Learning Data Science Certification from Harvard University (edX)

This Harvard ML 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.


Key USPs –

– Learn fundamental R programming skills, statistical concepts like modeling, inference, and how to apply them in practice

– Get knowledge and experience with tidyverse, including data visualization with ggplot2 and data wrangling with dplyr

– Develop an essential skill set for R programming, data visualization, file organization with Unix/Linux, and reproducible document preparation

– Access motivating case studies, ask specific questions and learn by answering these questions via data analysis

– Get in-depth knowledge of fundamental data science concepts via video lectures and case studies

– Receive a professional certificate once you complete the course with given projects and exams


Duration : 9 courses, approx 4 weeks per course

Rating : 4.6 out of 5

You can Sign up Here



6. 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 ML 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. If you have AI on your mind, we’ve got you covered with our list of Best AI Courses.


Key USPs –

– An introductory course focused on teaching individuals about machine learning and data science concepts with basic computer knowledge

– Learn from some of the best industry professionals who are working with IBM for a long time

– Get access to multiple video tutorials, practice exams, and quizzes to prepare yourself for the final exam

– Get 24/7 support from a team of experts who will help you at every stage of learning during the course

– Receive your certificate of completion once you complete the hands-on projects and given assignments

– Hundred percent flexible course with the freedom to study from your comfort zone


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

Rating: 4.6 out of 5

You can Sign up Here 



7. 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 sets 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.


Key USPs –

– From an introduction of machine learning concepts to what kind of problems it can solve, you will learn everything with this course

– Learn how to create distributed machine learning models that scale in TensorFlow, and how to scale out the training of those models

– Learn how to integrate the right combination of parameters that harvests accurate, generalized models and knowledge of the theory

– Excel your skills and improve your learning with hands-on labs available with 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



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

Amongst multiple machine learning courses, Coursera also provides specialized courses that are focused on specific and most essential topics of Machine Learning. Leading researchers at Washington University design this specialized course. It will introduce you to the exciting, high-demand field of machine learning, and you will learn how to analyze large and complex datasets. So, if you want to be an expert in machine learning, then taking this specialized course can help you become a master at machine learning techniques. Moreover, it includes hands-on projects that you will have to complete after finishing the course.


Key USPs –

– Gain experience in significant areas of machine learning like prediction, classification, and information retrieval with a series of practical case studies

– Learn to create a system that adapts and improve over time, and build intelligent applications that can make predictions from data

– Learn from some of the top instructors of Coursera who have years of experience in delivering machine learning coaching

– Freedom to study from your own pace with a 30 days free trial with the course

– Excel your knowledge and skills with the help of practical exercises, video lectures, and quizzes included with this program


Duration: 8 months, 4-5 hours/week

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.



9. College Machine Learning Certificate (edX)

edX is known for providing both free as well as paid courses depending upon the needs of individuals. This list of machine learning courses also includes a few free and paid courses. So, if you are amongst those who are not willing to invest any money to learn ML in the beginning, then you can take help from these courses. What’s a great thing about these courses is that all of them are designed and created by top universities and schools around the world, such as Harvard, Oxford, MIT, etc. Some of these courses even provide a professional certificate on completing the course that can be shared with your resume or LinkedIn profile to showcase your skills.


Key USPs –

– Learn a wide variety of topics, such as data science, artificial intelligence, data science with python, algorithms and data structure, and many more

– Choose a course or topic that best fits your knowledge, and then enhance your skills in the same subject

– Get guidance and support from a team of experts and instructors to help you with any queries related to the courses

– Avail practical exercises, hands-on projects, quizzes, and many other things that can help you enhance your knowledge and skills


Duration: Self-paced

Rating: 4.6 out of 5

You can Sign up Here



10. 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.


Key USPs –

– An introductory and step-by-step guide to machine learning that will teach you essential techniques of this field

– Packed with practical exercises that are based on real-life examples so that you can excel your skills and knowledge

– Includes both Python and R code templates that can be downloaded quickly and used with your own projects

– Learn to build an army of powerful machine learning models and know how to combine them to solve any problem

– Earn your certificate of completion once you finish the course with the given projects and assignments


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