Top 10 Machine Learning Courses Covering Key ML Algorithms

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:

1. Machine Learning by Stanford University on Coursera

Rating – 4.9
Total no. of reviews – 169,055

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 model.fit (X, Y) and help you climb the next level.

Course Specifics:

• Mode of Learning – Online
• Level – Intermediate
• Duration – 56 hours for completion
• Instructor – Andrew 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

• Enroll – Free enrollment
• Instructors – Leading experts in Data Science
• Case Studies – 12 machine learning case studies and assignments
• Key Coverage – Python, Keras, NLTK, and MySQL

2.IBM Data Science Professional Certificate by Coursera

Rating – 4.7
Total no. of reviews – ‎29,053

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 in practical data science assignments.

Course Specifics:

• Mode of Learning – 100% online self-paced course
• Level – Beginner
• Duration – 3 months
• Enroll – Free enrollment
• Instructors – IBM Skills Network Experts

3. Supervised Machine Learning: Regression by IBM

Rating – 4.7
Total no. of reviews – 231 

Supervised Machine Learning: Regression is a part of two specializations, IBM Machine Learning Professional Certificate and IBM Introduction to Machine Learning Specialization. The course can be taken up by aspiring data scientists looking forward to acquiring hands-on experience with Supervised Machine Learning Regression techniques in a business setting.

Course Specifics:

• Mode of Learning – Online Classroom
• Level – Intermediate
• Duration – 6 Months
• Module – 21 modules and sub-modules
• Live Classes – Weekly live coaching

4. Cloud Platform Big Data and Machine Learning Fundamentals by Google

Rating – 4.7
Total no. of reviews – 14,487

If you are looking for something broad, you can go ahead with this course wherein you get vast exposure to the 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
• Level – Intermediate
• Duration – 1 week of study (6-10 hours/week)
• Enrollment – Free
• Module – 7

5. Machine Learning with Python by IBM on Coursera

Rating – 4.7
Total no. of reviews – ‎812,342

Machine Learning with Python covers the applications of Machine Learning in different fields such as health care, banking, telecommunication, etc. The course also covers also talks about the advantages of using Python libraries for implementing Machine Learning models

Course Specifics:

• Mode of Learning – Online self-study
• Level – Intermediate
• Duration – 6 Weeks
• Certified – Yes, after completion of the course
• Coverage –Basics of machine learning using Python

6. Machine Learning Engineer by Udacity

Rating – 4.6
Total no. of reviews – 950

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 Learning – Online
• Level – Intermediate
• Duration – 3 Months
• Modules – 4 modules and sub-modules
• Coverage – Real-world machine learning projects
• Certified – Yes, after completion of the course
• Course Collaboration – Kaggle Amazon Web Services AWS

7. Post Graduate Program in AI and Machine Learning by Simplilearn 

Rating – 4.5
Total no. of reviews – ‎8,583

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 in 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. The program also offers exclusive hackathons and Ask me Anything sessions by IBM and capstone from 3 domains and 25+ Projects with industry datasets from Twitter, Wikipedia, Zomato, etc.

Course Specifics:

• Mode of Learning – Online Bootcamp
• Level – Intermediate
• Duration – 12 Months
• Modules – 31 modules and sub-modules
• Coverage – 3 Capstones and 25+ Projects 
• Certified – Yes, after completion of the course
• Course Collaboration – Purdue faculty and IBM experts

8. PG Diploma in Machine Learning and AI, IIIT Bangalore by upGrad

Rating – 4.5

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 Learning – Online
• Level – Advanced
• Duration – 11 months

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

Rating – 4.5
Total no. of reviews – 157,954 

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 Learning – On-demand videos with access to mobile and TV
• Level – Beginner
• Access – Full Lifetime access
• Instructors – Kirill Eremenko, Hadelin de Ponteves

10. Machine Learning with Python Training by Cognixia

Rating – 4.5 

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 as data scientists. Also, course takers learn about multiple tools and create complex machine learning algorithms.

Course Specifics:

• Mode of Learning – Online
• Level – Beginner
• Duration – 365 days
• Access – Lifetime LMS Access
• Module – 108 modules along with sub-modules

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 your 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 toward 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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