Generic selectors
Exact matches only
Search in title
Search in content
Search in posts
Search in pages

21 Best & Free Online Machine Learning Courses & Certification of 2020

Machine Learning Courses

It is quite difficult for students to find the best way to suit their needs with many Machine Learning courses. We are often asked by students whether there is a standard course of Machine Learning that fits every case. YES is the reply. You can participate in the following popular courses. Registering for the right course will make a major difference in your career growth. The best Machine Learning courses & classes of 2020 have been chosen by hand in this article.

Our focus is on highlighting their respective categories as the best and most popular courses.

You can select the one which best fits your needs depending on your use case.

Let us look at the best Machine Learning courses available on the market, however.

1. Artificial Intelligence (Northwestern | Kellogg School of Management)

Duration: 2 Months

Rating: 4.6 out of 5

Companies use Artificial Intelligence to simplify and promote repetitive activities. AI transformed the way an organisation operates and serve with the advent of cloud computing and Big Data analysis. The Kellogg School of Management AI course is intended for change leaders and executives, who plan to integrate AI into their business activities. This course has a live and engaging teaching environment and multiple learning activities with more than 50 use cases. Executives will learn how to implement AI in catering customer satisfaction and business management through real-world data sets.

Key Highlights:

  • Consider the use of AI technology with examples of leading global companies
  • Learn how to scale the current AI-based deployment approaches and resources
  • Know the tools and trends that drive business activities related to AI
  • Manage your support for customers, customer experience and business via AI applications
  • Get mobile app access to study and read lectures on the go
  • Be the changing leader for your company to implement business models based on AI
  • Get a Digital Certificate with 80 percent score after completing the exam.

You can Sign up Here

2. Machine Learning Certification by Stanford University (Coursera)

Duration: 2 weeks

Rating : 4.9 out of 5

The fact that it is taught by Andrew Ng, a former leader of the Google Brain and Baidu AI Group, is one of the most popular certifications out there. A ml certification of 4.9 out of 5 is no small feat and the fact that it is related with Stanford University simply adds a lot to the program’s credibility. Themes covered will include supervised learning, unchecked learning, best practices in machine learning and the program structure based on multiple case studies and applications, helping you learn how to implement algorithms to smart robots, text comprise, medical information systems, database mining, and other areas. This is the best certification for machine learning, and we are giving it two thumbs! Do not forget to check out some of our best machine learning course compilation too.

Key Highlights:

  • A broad guide to machine learning, data mining and identification of statistical patterns with all the required topics
  • One of the best courses to start with the methods and theories used in everyday work
  • Learn some of the best innovation practices inspired by Silicon Valley in machine education and AI
  • Make available many video tutorials, guides, notes and exercises to develop your knowledge in machine education concepts
  • Get a professional certificate that can be used to show employers your skills
  • Start to utilize learning algorithms for creating smart robots, research, computer vision, audio, etc.

You can Sign up Here

3. Artificial Intelligence: Business Strategies & Applications (Berkeley ExecEd)

Duration: 2 Months

Rating: 4.5 out of 5

Organizations wishing to have a competitive edge over its competitors can incentivize the AI knowledge of their management team. In this digital landscape, AI technology changes the way companies operate. Berkeley ExecEd ‘s AI course will help leaders and supervisors in enterprises to integrate and supervise AI technology into existing systems. You will understand the principles of AI and its business application, accompanied by machine learning ideas and robotics. You will also learn how to integrate AI into your existing business processes and to build your AI-driven technology team. Get a UC Berkeley Executive Education certificate to improve your management portfolio and add trend skills to your profile.

Key Highlights:

  • Create an AI-based team to enhance better efficiency and productivity. 
  • Learn how AI approaches can drive business transactions. 
  • Learn from the examples of the top AI companies worldwide
  • Recognize digital transformation by global organization’s real-world case studies
  • Find out where you can fit in your processes through AI applications. 

You can Sign up Here

4. Machine Learning with TensorFlow on Google Cloud Platform

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

Rating: 4.5 out of 5

With more than 2.5 bytes of data produced worldwide on a daily basis, it is safe to say that data is power. Composed of five courses this specialization promises to lead to lectures on building ML models from an overview of the importance of machine learning. The programme begins with initial courses covering the capabilities of machine learning and why it is so popular, followed by lessons focused on Tensorflow, an open-source learning environment. These lectures are designed to help you build, train, deploy ML models, solve numerical issues and much more. There are also several realistic ways to increase ML accuracy with the various tools provided on the Google Cloud Platform.

Key Highlights:

  • Know how to develop TensorFlow distributed machine learning models and how to scale out these models’ training.
  • From introducing machine learning ideas to solving problems, you will learn all with this class.
  • Expand your knowledge and improve your learning with hands-on labs on the Google Cloud Platform.
  • Learn how to incorporate the right parameter combination that collects reliable, general models and theory information.

You can Sign up Here

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

Duration : 9 courses, approx 4 weeks per course

Rating : 4.6 out of 5

This Harvard ML qualification includes 9 courses which include Machine Learning, R. Probability, Linear Regression, etc. This online program is one of the best online quality programmes. You will also learn about inference and modeling, productivity tools and Wrangling, which will be followed by a Capstone project, where you will develop and analyze a project based on guidelines. Rafael Irizarry, Professor of Biostatistics at Harvard University, is the professor of this course.

Key Highlights:

  • Get experience and knowledge with tidyverse, including ggplot2 data visualization and dplyr data wrangling
  • Develop vital skills for R programming, visualization of data, Unix / Linux file organization, and reproducible document preparation
  • Learn basic R programming skills, statistical concepts like modeling, inference and practical application
  • Strong understanding of basic data science principles through video lectures and case studies
  • Earn a certificate after completing the course of assignments and exams.
  • Access case studies encouraging to ask specific questions and learn from data analyzes by answering such questions

You can Sign up Here

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

Duration: 4 Months

Rating : 4.7 out of 5

Many learners decide to learn Deep Learning together with Machine Learning. If that is what you are thinking, this is undoubtedly one of the most popular courses for deep learning. Through this class, you can learn about the principles of Deep Learning and learn how to create new neural networks. Case studies will be done in real time including interpreting sign language, music production and natural language processing. Above all, this is taught by Andrew Ng, one of the leaders in the industry.

You can Sign up Here

7. Mathematics for Machine Learning (Coursera)

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

Rating: 4.6 out of 5

The objective of this course is to bridge that gap and help you build a solid basis in the underlying mathematics, their intuitive understanding and its use in machine learning and data science. Begin with Linear Algebra and Calculus multivariate before moving on to complex concepts. After the classes, you will also have a strong mathematical foundation to learn more in ML and become a specialist.

Key Highlights:

  • Learn how to optimize fitting functions so that data fits correctly with multivariate calculation
  • Consists of three modules, each concentrating on training you for specific mathematical concepts
  • Know how the linear algebra is concerned with the data and how you can use vectors and matrices
  • Learn and get advice from a team of professional instructors, who also assist you when you have a specific question about the course
  • Gain mathematical skills to begin your journey and take further advanced machine learning courses

You can Sign up Here 

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

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

Rating: 4.6 out of 5

If you want to seek a career in data science or machine learning, this is a good place to continue. This ML certification involves a series of 9 courses that enable you learn the skills needed to carry out the projects in the industry. The lectures address a range of subjects such as data processing , analysis, libraries and open source tools. At the end of the course you will have many projects and tasks to show your abilities and develop your cv.

Key Highlights:

  • Learn from a few of the brightest minds who long work with IBM
  • An introductory course intended to educate children with proper computer skills about machine learning and data science concepts
  • Receive 24/7 assistance from an experienced team who can support you at every point of the course
  • Get exposure to several online guides, exercises and assessments to practice for the final examination
  • 100% versatile curriculum with the liberty to study from one’s comfort zone
  • Receive your completion certificate after you complete the specific projects and assignments.

You can Sign up Here 

9. Machine Learning Certification (University of Washington)

Duration: 8 months, 4-5 hours/week

Rating : 4.6 out of 5

Coursera also offers specialized courses, including a number of machine learning courses, focusing on specific and essential subjects for machine learning. This specialized course is planned by leading scholars at Washington University. You can learn how to analyze large and complex data sets via the exciting, highly demanded field of machine learning. So, if you want to be an expert in machine learning, you will become a master of machine learning techniques by pursuing this advanced course. This also contains hands-on tasks that you will complete after the course has been completed.

Key Highlights:

  • Learn from some of the Coursera ‘s top teachers who have several years of the machine learning experience
  • Get expertise in main machine learning fields such as prediction, classification and information collection through a series of realistic case studies
  • Learn to build a system that adapts and improves over time, and to create smart applications that can predict data
  • Improve your skills and expertise with the help of practice, video tutorials and assessments included in this programme
  • Freedom to train at your own pace with a 30-day free course trial

You can Sign up Here

10. Coursera Machine Learning Certifications (Coursera)

Duration: Self-paced

Rating: 4.7 out of 5

People who are conflicted when starting their machine learning path can take help with these Coursera courses. All these courses are planned and evaluated by qualified experts from world-class universities. Such courses are designed to build structures that use and learn from vast sets of data, thereby covering a wide variety of subjects throughout the classes. Also, you can start with the intermediate or advanced classes if you already have some basic machine learning knowledge. These courses have a certification programme, which means that you receive a completion certificate on completion of the course.

Key Highlights:

  • Make use of valuable resources, videos, articles and other download resources to maximize your knowledge
  • Topics such as predictive algorithms, natural language processing, understanding of statistical patterns, etc.
  • Sign up for Master’s degree programs if you want to graduate in machine learning
  • A few of these courses are entirely free to register, so hidden charges are incurred in order to access them
  • Practice your skills and improve your experience with tests, exercises and video tutorials

You can Sign up Here

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

Duration: 8 weeks

Rating: 4.8 out of 5

Practical knowledge of the tools and methods used during machine learning applications is offered to the participants. Through doing so, you will learn in the MIT tradition. There are no preconditions for mathematics or computer science, although simple mathematical comprehension is helpful. This is not a programming class, but rather a beginning to the many ways that machine learning concepts and methods can help in a number of situations to make better decisions.

Key Highlights:

  • This digital program looks through a lens of practical applications at machine learning. It is specifically designed for experts who want to build up a competitive edge by trying to turn what is unknown into what leads to better decisions and results.
  • On the way to MIT Technical Education’s Machine Learning: You will be in a strong company from data to decisions online. Current participants come from a wide variety of sectors, occupations and management.
  • This online curriculum does not include math or computer science qualifications, although some experience with introductive statistics is useful.
  • Certificate: get acknowledged! Once the training has been successfully completed, MIT Professional Education awards applicants a certificate of completion.
  • Faculty: Devavrat Shah is a Professor of Electrical Engineering and IT at MIT.

You can Sign up Here

12. College Machine Learning Certificate (edX)

Duration: Self-paced

Rating: 4.6 out of 5

edX is known to offer both free and paid courses according to people’s needs. A number of free and paid courses are included in this machine learning list. So you can benefit from these courses when you are among those who are not ready to spend any money to start studying ML. What is unique about these classes is that they are all planned and developed by world-class colleges and schools like Harvard, Oxford, the MIT and so on. Some courses offer a professional certificate to complete the course which can be shared with your resume or LinkedIn profile to demonstrate your qualifications.

Key Highlights:

  • Choose a course or subject best suit your skills and develop your skills in the same area
  • Practical exercises, practical tasks, questionnaires, etc. will help develop your skills and knowledge –
  • Learn a wide selection of subjects, including data science, artificial intelligence, python data science, algorithms and data structure.
  • Get advice and support with questions about courses from a team of experts and instructors

You can Sign up Here

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

Duration: 44 Hours

Rating : 4.5 out of 5

Close to 200,000 people have completed part so far in this Machine Learning training with a high rating of 4.5 out of 5! Trainers Kirill Eremenko and Hadelin de Ponteves have put together this brilliant program along with their Super DataScience Team to help you build Machine Learning Algorithms in Python and R. What you should do to undergo this course is to understand mathematics at the high school level or to learn basic algorithms like linear regression and logistic explanation. It is a detailed course of 40.5 hours that will provide you with all the information and knowledge required to excel in this area. In our view, this is one of the best machine-learning tutorials.

Key Highlights:

  • Contains both Python and R code templates which can be easily downloaded and used for your own projects
  • A step-by-step introductory guide to machine learning, which will teach you important techniques in this area.
  • Covered with practical exercises focused on real-life examples, so you can superiorize your skills and knowledge.
  • Gain your completion certificate after you have completed the course with the tasks and assignments in question.
  • Learn how to create a powerful army of machine learning models and how to combine them to solve any problem.

You can Sign up Here

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

Duration: 11 Months

Rating : 4.5 out of 5

John Hopkins’ specialization program will help you put your 1st step into the data science and machine learning world. The trainers will help you learn all aspects of data science in 9 sessions, followed by a capstone project to try out everything you have learned during the course. This program’s tutors include Roger D. Peng, Brian Caffo, and Jeff Leek, and together they will teach you about R programming, Exploratory Data Analysis, Statistical Inference, as well as many other data science aspects and areas.

You can Sign up Here

15. Machine Learning Certification (E-Cornell)

Duration: Self-paced

Rating: 4.5 out of 5

Cornell is a recognised company for providing technical courses. With the help of Python programming, this machine learning certification program can help you learn how to apply machine learning algorithms. In addition, with the aid of math and intuition, you will have the opportunity to practice framing machine learning issues, and create a conceptual model to understand how data scientists address these issues programmatically. So, you are not only going to get exposed to a few machine learning principles, you are going to practice them with real-world scenarios. You will also be eligible to obtain your Certificate of Completion upon completion of the program with specified assignments and projects.

Key Highlights:

  • Explore a wide range of machine learning algorithms and practice how the best model is chosen
  • Get a chance to incorporate live data algorithms when testing and refining models across multiple approaches
  • One of E-Cornell’s comprehensive machine learning programs developed by skilled and expert instructors
  • Learn how to successfully apply selective models in the light of their fundamental principles
  • Continuous support by experienced professionals for any queries or questions relating to the course
  • Learn how to use the libraries Python and NumPy to complete programming exercises and projects

You can Sign up Here

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

Duration: 14 Hours

Rating : 4.5 out of 5

Frank Kane is yet another competitor of courses online and this learning is no different. After spending 9 years at Amazon and IMDb, Frank has developed the technology we see on these portals, which gives today product and movie recommendations. He possesses 17 patents in machine learning , data mining and distributed computing and since 2012 he has concentrated on his ‘sundog tech’ company , which provides us with this training. In this training he will teach you how to interpret data distributions, mass probability functions, density functions and how to dismystify the use of covariance and correlation metrics, using Bayes ‘ theorem to detect false positive and show data using matplotlib.

You can Sign up Here

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

Duration: 25 Hours

Rating : 4.6 out of 5

Jose Marcial Portilla is an MS and has years of professional experience as a qualified data science and programming teacher and trainer. He trained employees of organizations like General Electric, the New York Times, Credit Suisse, and many others over time. After all, if people make a decision to go with him for this online bootcamp, users would now know that they are in absolutely safe hands. They can learn about K-Means clustering, Python Plotting Matplotib, Neural Networks, how Spark is used for Big Data Analytics, and how to implement Machine Learning Algorithms. This training was attended by a whip of over 90,000 students and is high at 4.6 out of 5! This 21.5 hour course is highly recommended and is one of the best training courses for the machine learning.

You can Sign up Here

18. Data Science and Machine Learning Tutorial with R

Duration: 17.5 hours

Rating : 4.6 out of 5

This is for all students who want to know how to use R for data science and machine learning. Jose, a pioneer in the area, helps you to learn how to program in R, use R to analyze data, use data science and use R to study machine algorithms. Simple math skills are what you need, and in this 17.5-hour course Jose will inspire you plenty to help you go from being a nobody to a well-informed person in the field of machine learning!

You can Sign up Here

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

Duration: 10 Months

Rating : 4.8 out of 5

This is your deep dive into the world of machine learning, developed and taught by a team of 21 lecturers, teachers and researchers. This is only designed for those with fundamental knowledge of the subject matter. You will learn all about reinforcement learning, deep learning, understanding of natural language processing, computer vision and Bayesian methods. CERN scientists share expertise in the resolution of real-world issues to help you understand how it works in reality rather than just theory. You must apply new methods for businesses and sectors at the conclusion of this 7 course program. We believe this is the best machine learning certification for all those who are interested in going deep within a topic.

You can Sign up Here

20. Machine Learning AWS Certification (Amazon AWS)

Duration: 54 hours

Rating: 4.6 out of 5

You can learn about the certification of Amazon Web Services and how machine learning is incorporated with it. If you’ve no understanding, this AWS-platform machine learning course takes you to a deeper dive into the machine training often used educate Amazon’s developers and data scientists. There are more than 30 online ML courses with multiple practical labs and documentation initially used for internal use by Amazon. You will learn about the methods Amazon developers use to build their products and services.

Key Highlights:

  • Learn how your business can apply ML, artificial intelligence and profound learning to open up new insights and value
  • One of the best online machine learning courses to lead you through advanced ML techniques.
  • Get training from professionals to fit your specific ML objectives with tailor-made learning paths
  • Build your machine learning skills on-demand, flexible and cost free digital training
  • Obtain an AWS technical certificate to check your expertise and skills in ML concepts
  • Select a specific learning path according to your needs, such as developers, data scientists, business professionals, etc.

You can Sign up Here

21. Data Science with Python – University of Michigan

Duration: 5 Months

This University of Michigan specialization will help you master the data science with python. The course provides instruction on tool sets, including matplotlib, nltk and networkx. You are taught Applied Plotting, Applied Machine Learning, Applied Text Mining and Applied Social Network Analysis.. Christopher Brooks, Kevyn Collins-Thompson and Daniel Romeroand V. G. Vinod Vydiswaran are the instructors for the programme. The course you are looking for is accessible on coursera and you can access it online. The duration lasts for a few weeks and leads to a capstone project in which you practice everything you learn.

Rating : 4.5 out of 5

You can Sign up Here

Wrapping Up

That’s the list of 21 Best & Free Online Machine Learning Courses & Certification of 2020 with high-quality content. They are popular and loved by many machine learning students. Between these courses, you are sure to find what you need to learn to continue your path of the machine learning.

Check Also

Applied Data Science Courses

7 Best & Free Online Natural Language Processing Classes of 2020

Students with so many Natural Language Processing classes find it extremely difficult to meet their …