Artificial intelligence and Machine learning are among the fastest-growing technologies leveraged by almost every industry including entertainment, transport, healthcare, and automotive.

A recent survey conducted by Gartner highlights that since 2018, organizations have tripled the adoption of Artificial Intelligence and Machine Learning. Such results from these reports are a sign that industry leaders are aggressively looking for hiring AI and ML professionals.

Professionals like Machine Learning Engineers, Data Scientists, Human-Centered ML Designers, and similar veterans having vast industry experts keep themselves updated with the best machine learning courses to boost their career opportunities in the ML domains.

Refer to the list of the 10 best Machine Learning Courses:

Coursera Online Machine Learning Course by Stanford University

This Coursera machine learning course is created by Andrew Ng – a Computer Scientist & pioneer of machine learning online education. This is one of the best courses recommended for Data Scientists and Machine Learning Engineers. The course helps the participants gain the theoretical as well as the practical implementation of learning.

If you want to propagate yourself in the direction of ML, this course will take your concepts beyond (X, Y) and help you climb the next level.

Course Specifics:

  • Mode of LearningOnline
  • LevelIntermediate
  • Duration56 hours for completion
  • InstructorAndrew NG (CEO/Founder – Landing AI, Co-Founder – Coursera)
  • Coverage Logistic Regression, Artificial Neural Network, ML algorithms
  • Certified Yes
  • Course offered by – Stanford
  • Free Trial Yes, take a free trial of 7 days


Udacity – Machine Learning Engineer

This Udacity Machine Learning course offering is blended with the right mix of skills that are essential for every aspirant looking for his or her future as a data analyst. Through this machine learning course, one can rightly identify, extract, investigate, and represent data in its best forms.

To pursue this course, you must have intermediate experience in Python and machine learning algorithms.

Course Specifics:

  • Mode of LearningOnline
  • LevelIntermediate
  • Duration3 Months
  • Modules4 modules and sub-modules
  • CoverageReal-world machine learning projects
  • CertifiedYes, after completion of course
  • Course CollaborationKaggle Amazon Web Services AWS


Simplilearn – Machine Learning Advanced Certification Training

If you are looking for advanced machine learning training, it’s time for you to seek this certification training course. After successful completion of the course, you will get hands-on experience of implementing algorithms like regression, clustering, recommendation, and gbm. Moreover, the modules in this course assist in grooming skills related to deep learning as well as Spark machine learning.

Course Specifics:

  • Mode of Learning – Online self-study
  • Level – Intermediate
  • Duration – 6 Months
  • Modules – 31 modules and sub-modules
  • Sessions – 28 hours of instructor-led training sessions
  • Coverage – covers 2 industry projects (Cloudlabs environment)
  • Certified – Yes, after completion of the course

Edunix – Learn Machine Learning By Building Projects

This course adopts more of a practical learning approach involving the crucial functions of machine learning.   The participants will learn basic block applications of ML and progressively rise on to the complex real-time ML projects. Some of the building projects covered in the course are – Breast cancer detection with SVM and KNN, Credit card fraud detection, and Object recognition, among others.

Course Specifics:

  • Mode of LearningOnline self-study
  • LevelIntermediate
  • DurationLifetime access
  • Case StudiesReal-time machine learning case studies and assignments
  • Modules60 modules and sub-modules
  • CertifiedYes, after completion of the course
  • CoverageBroadly covers technical aspects of Machine learning


upGrad – PG Diploma in Machine Learning and AI, IIIT Bangalore

This online machine learning & artificial intelligence course is particularly designed for working professionals. Majorly the theme of the course revolves around NLP, deep learning, reinforcement learning, machine learning, and graphical models. Professionals having a Bachelor’s degree along with a minimum of one year of work experience can take the course.

Course Specifics:

  • Mode of LearningOnline
  • LevelAdvanced
  • Duration11 months
  • EnrollFree enrollment
  • InstructorsLeading experts of Data Science
  • Case Studies 12 machine learning case studies and assignments
  • Key Coverage Python, Keras, NLTK, and MySQL


Coursera – IBM Data Science Professional Certificate

This Coursera course is designed for the aspirants looking for a bright career in data science and machine learning. With this course, one gets exposure to several trending areas like machine learning, python programming, data analysis, and data visualization.

After successful completion of the course, one receives a digital badge from IBM along with hands-on experience of practical data science assignments.

Course Specifics:

  • Mode of Learning100% online self-paced course
  • LevelBeginner
  • Duration3 months
  • EnrollFree enrollment
  • InstructorsIBM Skills Network Experts


Udemy – Machine Learning A-Z™ (Hands-On Python & R) in Data Science

If you are looking for a course through which you can acquire the skills required to create machine learning algorithms in python and R, the course from Udemy may help you. Once you sign-up for Udemy’s machine learning course, you get a coverage of code templates. Further, you will also get to know about leading machine learning models to resolve unique problems.

Course Specifics:

  • Mode of LearningOn-demand videos with access to mobile and TV
  • LevelBeginner
  • AccessFull Lifetime access
  • Instructors Kirill Eremenko, Hadelin de Ponteves


Cognixia – Machine Learning with Python Training

Machine Learning with Python Training Course is structured for those seeking training on concepts like – file operations, sequence, and python libraries to leverage the skills in their profile of data scientists. Also, course takers learn about multiple tools, create complex machine learning algorithms.

Course Specifics:

  • Mode of LearningOnline
  • LevelBeginner
  • Duration 365 days
  • AccessLifetime LMS Access
  • Module108 modules along with sub-modules


edX – MicroMasters ® in AI, Columbia University

MicroMasters® in AI is a certified course from Columbia University. This course helps you to master artificial intelligence and excel in its applications. The course basket also includes Natural Language Programming applications, supervised learning techniques, probabilistic, and non-probabilistic problems.

Once the course is finished, you get a MicroMasters™ credential in AI from Columbia University.

Course Specifics:

  • Mode of LearningOnline Classroom
  • LevelIntermediate
  • Duration 6 Months
  • Module21 modules and sub-modules
  • Live ClassesWeekly live coaching


Google – Cloud Platform Big Data and Machine Learning Fundamentals

If you are looking for something broad, you can go ahead for this course wherein you get vast exposure to Big Data and Machine Learning capabilities of GCP (Google Cloud Platform). The prerequisite of the course is that the participants must have one year of experience working with SQL Extract, data modeling, machine learning, or statistics programming in Python.

Course Specifics:

  • Mode of Learning 100% Online
  • LevelIntermediate
  • Duration 1 week of study (6-10 hours/week)
  • EnrollmentFree
  • Module7


What’s Next?

Once you are done with any of the above leading machine learning courses, you are assured of fetching a good job opportunity. Further, if you want to out beat the fellow competitors, you must drive the extra mile to take additional examinations for machine learning like:


AWS certified Machine Learning – Speciality examination: This multiple-choice exam validates your ability to design, implement, and deploy machine learning solutions to resolve possible machine learning problems using AWS Cloud. The test duration is 170 minutes.


Wrapping Up:

Taking up machine learning and data science course from leading institutes is the first step towards a bright future. If you too are looking for an outstanding career path in the subsets of AI – machine learning or deep learning arenas, you need to give your best in learning machine learning course content to nurture your skills.

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