Best courses on AI and Machine Learning
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8 Best Machine Learning Course Online- ML Courses 2022

At present due to increased application areas of AI, Machine Learning/deep learning, the industry is facing a dearth of skilled workforce. To point out, IDC forecasts that spending on AI and ML will grow from $12B in 2017 to $57.6B by 2021. As a result, technical professionals are looking to encash this opportunity and looking for some potential and Globally valued online courses on ML. With this in mind, our team has done great research in preparing Best Machine Learning online Courses & tutorials for the year 2022.

Machine Learning:

Rapid advancements and innovations in enabling technologies are leading towards creating new areas of growth. Machine learning & Artificial Intelligence are among those innovations.

It must be remembered that machine learning is an application of AI that provides the system the ability to automatically learn and improve from experience.

Consulting firm McKinsey estimates that total annual external investment in Artificial Intelligence was between $8 Billion to $12Billion in 2016. Markedly, ML contributes 60% of this investment.

In another report by Deloitte Global predictions 2018, the number of machine learning pilots and implementations for the year 2018 will be doubled by the year 2020. That’s huge!

Why should you go for a course in ML

Once you get into the details, there is clear demand and supply gap one can see, as high-end ML talent is becoming limited. For instance, 76% of Indian companies have observed a shortage of AI/ML skilled professionals which is resulting in slowing down their AI adoption.

Furthermore, as per one Gartner report, AI is projected to create 2.3 million jobs by 2020. Hence it can safely be said that a significant part of these jobs will go to ML.

As demand continued to outpace the supply in time to come, it will be fairly difficult for the HR department to find top-class talent.

One can see that there is a 60% rise in demand for AI and ML experts in 2018 as per one report.

Professionals have also understood this pain area of the industry and are rushing to join a few quality online courses on ML and Artificial Intelligence.


“The first step towards getting somewhere is to decide that you are not going to stay where you are.”

Chauncey Depew

Best Online courses on Machine Learning

1 . ML by Stanford University on Coursera

Stanford/Coursera

There are many factors, which have already made it one of the most sought-after courses in machine learning. Firstly, it is being conducted by Stanford University, which is one of the best institutes in the world. Secondly, Coursera is the leading facilitator of the courses from leading institutes and organizations.

Markedly, Coursera was founded by two Stanford graduates, Daphne Koller and Andrew Ng. In fact, Andrew Ng is the instructor for this course.

In particular, Coursera offered courses that are famous for two reasons. Firstly, it offers certificates from the best of the world Institutes/companies. Secondly, these tutorials are well structured which ensures the effectiveness in the content delivery.

Key Attributes/Features

Duration 55 hours
Enrollment Status: Started from 4th March 2019
Ratings – 4.9 star (49,000+ ratings)
Reviews – 24,000+ reviews
Dedicated mentoring session from industry experts
Gain expertise with 25+ hands-on exercises
Skills you will gain:

Logistic Regression
Artificial Neural Network
Machine Learning (ML) Algorithms
Advisors/Instructors:

Andrew Ng
CEO/Founder Landing AI; Co-founder, Coursera;
Adjunct Professor, Stanford University; formerly Chief Scientist, Baidu and founding lead of Google Brain


2 . Deep Learning Specialization by Deeplearning.ai (Partner- NVIDIA) on Coursera

Course on Machine Learning by Stanford and Coursera
Deeplearning.ai & Coursera

One of the most highly sought-after skills in technology, which helps you to break into AI.

Deep learning Specialisation is comprised of 5 courses:

  1. Neural Networks and Deep Learning
  2. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
  3. Structuring ML Projects
  4. Convolutional Neural Networks
  5. Sequence Models
Duration Approx. 3 months to complete with suggested 11 hours/week
Enrollment Status: Starts from 5th March 2019
Ratings – 4.9 star (130,000+ ratings)
Reviews – 24,000+ reviews
Every Specialization includes a hands-on project.
Award of the certificate, once you complete every part and hands-on project.
Skills you will gain:

Tensorflow
Convolutional Neural Network
Artificial Neural Network
Deep Learning
Advisors/Instructors:

Andrew Ng
CEO/Founder Landing AI; Co-founder, Coursera;
Adjunct Professor, Stanford University; former Chief Scientist-Baidu and founding lead of Google Brain

Kian Katanforoosh (Head Teaching Assistant)
Lecturer of Computer Science at Stanford University, deeplearning.ai, Ecole CentraleSupelec

Younes Bensouda Mourri (Teaching Assistant)
Mathematical & Computational Sciences, Stanford University, deeplearning.ai

Industry Partner – NVIDIA
Deeplearning.ai is Andrew Ng’s new venture which provides comprehensive AI education beyond borders.

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3 . AI & Deep Learning with TensorFlow on Edureka

Edureka

As per Google, TensorFlow could be a game-changer in the future of AI. In effect, MIT also says that Google stakes its claim heavily on software called TensorFlow.

Key Attributes/Features

Duration 30 hours
Ratings – 4.57 Star rating (5000+ reviews)
14,000+ enrolled
60 days of Cloud Lab access
Real-life Case Studies
24 x 7 Expert Support
Excellent trainers with 10-12 years of relevant industry experience and Edureka trained.


4. ML Certification Training using Python on Edureka

With this ML Certification using Python, Edureka certifies you as a Data Scientist with proficiency in Python.

Who should go for this:

  • Developers, who want to become a Machine Learning Engineer
  • Analytics Managers, Business Analysts who want to understand Machine Learning (ML) Techniques
  • Information Architects
  • ‘Python’ professionals who are keen to design the automatic predictive models.

Those, who have completed the online Edureka’s Machine Learning tutorials, are very satisfied with its content, instructors, and support from Edureka on technical queries.

You may check testimonials and video reviews on this course.

Duration 36 hours
Ratings – 4.57 star (5000+ ratings)
4000+ enrolled
60 days of Cloud Lab access
Real-life Case Studies
24 x 7 Expert Support
Excellent Course trainers with 10-12 years of relevant industry experience and Edureka trained.

5. ML Certification by Simplilearn

Machine learning course - Simplilearn

Key Attributes/Features

Duration 36 hours
Ratings – 4 star (700+ ratings)
1600+ enrolled
4 real-life Industry projects with integrated labs
Dedicated mentoring session from industry experts
Gain expertise with 25+ hands-on exercises
Advisors:

1.
Mike Tamir
No. 1 AI & ML Influencer, Head of Data Science – Uber ATG

2. Vivek Singhal
Co-Founder & Chief Data Scientist, CellStrat


6. Artificial Intelligence MicroMasters Program / Machine Learning Course by Columbia University (Columbia X) on edX

Machine Learning Course by Columbia University on edx

This MicroMasters Program from Columbia University will help you build a solid foundation of Artificial Intelligence (AI) which includes ML, Robotics, and other related topics.

You are best suited for this course if you have completed a bachelor’s degree in Computers Science or Mathematics and have basic knowledge about statistics, college-level algebra & calculus, and loves to play with programming languages.

Key Attributes/Features

Total 4 courses.
1. Artificial Intelligence (AI)
2. ML
3. Robotics &
4. Animation and CGI Motion

Per Course Duration Max 120 hours ( 8-10 years for 12 weeks )
To be completed in a year timeline
MicroMasters® Program Certificate in 1 year
Course fee for Micromasters Program – $1080
Per individual course fee- $300
Instructors:

(Columbia University )

Ansaf Salleb-Aouissi – Department of Computer Science
John W. Paisley – Department of Electrical Engineering
Matei Ciocarlie -Department of Mechanical Engineering
Eitan Grinspun – Department of Computer Science

7. Data Science ML by Harvard University (HarvardX) on edX

Machine Learning Course by Columbia University on edx

This Professional Certificate in Data Science from Harvard University will help you master Data Science including R and Machine Learning. For this course, Harvard University has come up with Real-world case studies.

Key Attributes/Features

Total 9 courses.
Per Course Duration

1-2 hours per week for 8 weeks – [ For each of 7 Data Science courses, which includes R basics, Visualization, Probability, Inference & modeling, Productivity Tools, Wrangling and Linear Regression ]
2-4 hours per week for 8 weeks – Machine Learning
15-20 hours per week for 2 weeks – Capstone
Professional Certificate inData Science Course
fee for Micromasters Program – $441
Course instructor:

Rafael Irizarry – Professor of Biostatistics
Harvard University

8. Machine Learning A-Z™: Hands-On Python & R In Data Science by Udemy

Online Machine learning – Udemy

Udemy offers various technical courses including Machine learning. Most of the courses have pre-requisite of development experience with Python, while Udemy’s online Machine learning course requires an understanding of high school level mathematics. Which makes it an easy opportunity.

Key Attributes/Features

Duration 41 hours
Ratings – 4.5 star (74,000+ ratings)
384,000+ enrolled
27 articles,
Full lifetime access
Advisors:

1. Kirill Eremenko, Data Scientist
4.5 Tutor rating

2. Hadelin de Ponteves, AI Entrepreneur
4.5 Tutor rating

3. SuperDataScience Team (I), Helping Data Scientists Succeed
4.5 Tutor rating

4. SuperDataScience Team (II), Helping Data Scientists Succeed
4.5 Tutor rating

Data Science A-Z: Machine Learning with Python & R


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