At present due to increased application areas of AI, Machine Learning/deep learning, the industry is facing a dearth of the skilled workforce. To point out, IDC forecasts that spending on AI and machine learning 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 machine learning. With this in mind, our team has done great research in preparing
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 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, Machine Learning contributes 60% of this investment.
Another report by Deloitte Global predictions 2018, number 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 Machine Learning
Once you get into the details, there is clear demand and supply gap one can see, as high-end machine learning 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 HR department to find the 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 Machine Learning and Artificial Intelligence.
“The first step towards getting somewhere is to decide that you are not going to stay where you are.”Chauncey Depew
Top 8 ML course/Best Online courses on Machine Learning
- Machine Learning by Stanford University on Coursera
- Deep Learning course/Specialization by Deeplearning.ai (Partner- NVIDIA) on Coursera
- AI & Deep Learning Course with TensorFlow by
Edureka - (ML)Machine Learning Certification Training course using Python by
Edureka - Machine Learning Certification Course by Simplilearn
- Artificial Intelligence MicroMasters Program / Machine Learning Course by Columbia University (Columbia X) on edX
- Data Science Machine Learning Course by Harvard University (HarvardX) on edX?
- Hands-On Python & R In Data Science: Machine Learning A-Z™ by Udemy
1 . Machine Learning by Stanford University on Coursera
There are many factors, which has already made it one of the most sought after courses in machine learning. Firstly, this ML course is being conducted by Stanford University, which is one of the best institutes in the world. Secondly, Coursera is the leading facilitator of learning courses from leading institutes and organizations.
Markedly, Coursera was founded by two Stanford graduates, Daphne Koller
In particular, Coursera offered courses are famous for two reasons. Firstly, it offers
Key Attributes/Features
| Course 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 Machine Learning |
| Course Advisors/Instructors: Andrew Ng CEO/Founder Landing AI; Co-founder, Coursera; Adjunct Professor, Stanford University; formerly Chief Scientist |
2 . Deep Learning Specialization by Deeplearning.ai (Partner- NVIDIA) on 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:
- Neural Networks and Deep Learning
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization
and Optimization - Structuring Machine Learning Projects
- Convolutional Neural Networks
- Sequence Models
| Course 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 certificate, once you complete every course and |
| Skills you will gain: Tensorflow Convolutional Neural Network Artificial Neural Network Deep Learning |
| Course 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 (Deep Learning Institute) Deeplearning.ai is Andrew Ng’s new venture which provides comprehensive AI education beyond borders. |
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3 . AI & Deep Learning course with TensorFlow on 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
Key Attributes/Features
| Course Duration– 30 hours |
| Ratings – 4.57 Star rating (5000+ reviews) |
| 14,000+ learners |
| 60 days of Cloud Lab access |
| Real-life Case Studies |
| 24 x 7 Expert Support |
| Excellent Machine Learning Course trainers with 10-12 years of relevant industry experience and Edureka trained. |
4.Machine Learning Certification Training course using Python on Edureka
With this course of Machine Learning Certification Training/course using Python,
Who should take this course:
- 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
You may check testimonials and video reviews on this course.
| Course D |
| Ratings – 4.57 star (5000+ ratings) |
| 4000+ learners |
| 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. Machine Learning Certification Course by Simplilearn
Key Attributes/Features
| Course D |
| Ratings – 4 star (700+ ratings) |
| 1600+ learners |
| 4 real-life Industry projects with integrated labs |
| Dedicated mentoring session from industry experts |
| Gain expertise with 25+ hands-on exercises |
| Course Advisors: 1.Mike Tamir No. 1 AI & Machine Learning 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
This MicroMasters Program from Columbia University will help you build a solid foundation of Artificial Intelligence (AI) which includes Machine Learning (ML), Robotics and other related topics
Key Attributes/Features
| Total 4 courses. 1. Artificial Intelligence (AI) 2. Machine Learning (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 |
| Course 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 Machine Learning Course by Harvard University (HarvardX) on edX
This Professional Certificate in Data Science from Harvard University will help you learn Data Science including
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
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 learning opportunity.
Key Attributes/Features
| Course Duration– 41 hours |
| Ratings – 4.5 star (74,000+ ratings) |
| 384,000+ learners enrolled |
| 27 articles, |
| Full lifetime access |
| Course Advisors: 1. Kirill Eremenko, Data Scientist 4.5 Tutor rating || 222,800+ reviews || 750,000+ students || 48 courses 2. Hadelin de Ponteves, AI Entrepreneur 4.5 Tutor rating || 121,000+ reviews || 521,000+ students || 23 courses 3. SuperDataScience Team (I), Helping Data Scientists Succeed 4.5 Tutor rating || 200,000+ reviews || 700,000+ students || 37 courses 4. SuperDataScience Team (II), Helping Data Scientists Succeed 4.5 Tutor rating || 83,000+ reviews || 426,000+ students || 2 courses |
Data Science A-Z: Machine Learning with Python & R
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