Last Updated on 10 months by Anoob P T
Are you looking for the best Machine learning course to take your career forward?
Machine learning courses are a great way to gain expertise is ideal for anyone looking to enter the domain and progress in thier career.
Machine learning (ML) is the study of computer algorithms that improve automatically through experience.
You should note that Machine learning is not Artificial Intelligence, but rather a subset of Artificial Intelligence.
Here are 15 best machine learning course & certifications you can do online.
Table of Contents
Machine Learning Course A-Z™: Hands-On Python & R In Data Science (Udemy)
About the Course
The machine learning course offered by Udemy helps you to master Machine Learning on Python & R. in this course, you will learn how to accurate predictions
make powerful analysis and make robust Machine Learning models. The course also covers advanced techniques like Dimensionality Reduction, Reinforcement Learning, NLP and Deep Learning.
You can create strong value to your business and increase your employment opportunities by taking up this course.
USP of Course
- You need not have any prior knowledge to learn this course except some high school level mathematics.
- This course has been designed by two professional Data Scientists so as to help you learn complex theory, algorithms and coding libraries in a simple way.
- The tutorials are well-demonstrated to develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.
- The whole course is divided into units that helps you to build strong foundation and move to further advanced levels.
- The course is packed with practical exercises which are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.
- The course includes both Python and R code templates which you can download and use on your own projects.
- 74 articles + 38 downloadable resources + Full lifetime access + Access on mobile and TV + Certificate of Completion
Time to Complete: 44 hours
Rating: 4.5 out of 5
Price: Rs.420 or USD 6
Explore Machine Learning Course A-Z™Machine Learning Course by Stanford University (Coursera)
About the Course
This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition.
The course is offered by Stanford University, one of the reputed educational institutions in the world. Through this course, you will learn about Logistic Regression, Artificial Neural Network, Machine Learning (ML) Algorithms and Machine Learning.
Other areas covered are how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and so on.
USP of Course
- Besides theory, the course also draws numerous case studies and applications which helps you to gain practical knowledge.
- The most effective machine learning techniques are also dealt with in the course.
- You will learn about some of Silicon Valley’s best practices in innovation as it pertains to machine learning and AI.
- Flexible deadlines are beneficial to learn at your own pace and reschedule according to your convenience.
- Top instructors and staff support to clarify your doubts.
- Assignments and practice sessions to put theory into practice.
- Financial aid is also available from Coursera.
Time to Complete: 54 hours
Rating: 4.9 out of 5
Price: Free
Explore Machine Learning Course by Stanford UniversityMathematics for Machine Learning Course by Imperial College London (Coursera)
About the Course
The course offered by Coursera focuses on the prerequisite mathematics for applications in data science and machine learning.
You will learn to implement mathematical concepts using real-world data after this course.
Further, the course helps you to derive PCA from a projection perspective and understand how orthogonal projections work.
USP of Course
- There are no prerequisites required as this is a beginner level course.
- Even though basics are taught, you will be specialised in the mathematical algebra in association with computer science by the endo of the course.
- The course also helps you to take further advanced courses in Machine Learning.
- Assignments and mini-projects are a part of the course and help you apply the knowledge to real world problems.
- Flexible schedule throughout course lets you to reschedule and keep flexible deadlines.
- The course is handled by top rated instructors and experts with their live and interactive sessions.
Time to Complete: 4 months/ 4 hours per week
Rating: 4.5 out of 5
Price: Free
Start Building Your AI Strategy (Kellogg School of Management)
About the Course
With this course, you will gain a comprehensive perspective on how AI is being used in practice across organizations, across enterprise functions, as well as in a wide array of industries.
The course helps you to understand how AI is being used in practice to manage customer experiences, operations, and business support functions based on more than 50 use cases from a variety of companies and industries.
You will also know to leverage proprietary AI frameworks such as the AI Radar, the AI Canvas, and the AI Capability Maturity Model – developed specifically for this program – to drive your AI strategy.
USP of Course
- The course takes variety of cases and real-world examples besides the theory part. This helps you to also get in hand knowledge about AI and other aspects.
- You will learn from real-world examples such as Microsoft, Oracle, Netflix, Airbnb, Danske Bank, Infosys, Teradata, Reliance Jio, Fruit of the Loom and many other companies based on the personal consulting experience of the faculty.
- You will learn how to transform your business through AI—from strategy and capabilities to organization and implementation.
- The course is handled via live faculty sessions. You can interact in real-time discussions and clarify doubts quickly and easily.
- The course also provides labs with real-time data sheets.
Time to Complete: 2 months/ 4-6 hours per week
Rating: 4.5 out of 5
Price: $2900
Explore Start Building Your AI StrategyDeep Learning Course (Deeplearning.ai)
About the Course
The course is designed to cover foundations of Deep Learning, how to build neural networks and how to build machine learning projects.
Most importantly, you will get to work on real-time case studies around healthcare, music generation and natural language processing among other industry areas.
The trainer is the Co-Founder of Coursera and has headed the Google Brain Project and Baidu AI group in the past.
USP of Course
- You can learn different techniques using which you can build models to solve real-life problems.
- You will learn about convolutional networks, RNNs, BatchNorm, Dropout and more.
- The course also includes real-world case studies in fields such as healthcare, autonomous driving, sign language reading, music generation, and natural language processing are covered.
- This course is handled by top-rated instructors and industry experts.
- You can complete all the assessments and assignments as per your schedule to earn the specialization completion certification.
Time to Complete: 3 months/ 11 hours per week
Rating: 4.9 out of 5
Price: Free
Explore Deep Learning CoursePython for Everybody (University of Michigan)
About the Course
The course mainly deals with the basics of Python Programming Language. You will be able to install Python and write your first program while doing this course.
You will also be taught to use variables to store, retrieve and calculate information. In addition, the course content also covers how to utilize core programming tools such as functions and loops.
USP of Course
- This is a beginner level course and hence, no prior knowledge is required.
- The flexible schedule facility helps you to set and maintain flexible deadlines.
- You will be introduced to fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language.
- You can also practice and create your own technologies to design and create your own applications for data retrieval, processing, and visualization.
- Workout exercises help you to build up practical knowledge.
- The course is handled by top instructors and industry experts.
Time to Complete: 8 months/ 4 hours a week
Rating: 4.8 out of 5
Price: Free
Explore Python for Everybody CourseMachine Learning Data Science Course by Harvard University (edX)
About the Course
In this course, you will learn fundamental R programming skills as well as statistical concepts such as probability, inference, and modelling and how to apply them in practice.
The course is designed to motivate case studies, asks specific questions and shows you how to answer them by analyzing huge amounts of data.
You can gain experience with the tidyverse, including data visualization with ggplot2 and data wrangling with dplyr.
You will also become familiar with essential tools for practicing data scientists such as Unix/Linux, git and GitHub, and RStudio.
USP of Course
- You will get in-depth knowledge of fundamental data science concepts through motivating real-world case studies.
- After the course, you will be able to implement machine learning algorithms.
- The course is self-paced and you can make progress by taking your own time.
- The course undertakes popular cases for study like Trends in World Health and Economics, US Crime Rates, The Financial Crisis of 2007-2008, Election Forecasting, Building a Baseball Team (inspired by Moneyball), and Movie Recommendation Systems.
- The course is structured to cover the basic and advanced levels in machine learning.
- You will earn a professional certificate after the course which increases career opportunities for you.
Time to Complete: 1 year, 5 months/ 2-3 hours per week.
Rating: 4.7 out of 5
Price: $441.90
Explore Machine Learning Data Science CourseApplied Machine Learning (Columbia Engineering Executive Education)
About the Course
The Applied Machine Learning course teaches you a wide-ranging set of techniques of supervised and unsupervised machine learning approaches using Python as the programming language.
You will be able to build regression models to predict an unknown output from a given set of inputs and create classification models to categorize datasets such as email messages as spar or non-spam.
You can also develop unsupervised models, determine hidden parameters and create probabilistic data models after completing the course.
USP of Course
- The course invites participants into a conversation, where learning is facilitated by live subject matter experts and enriched by practitioners in the field of machine learning.
- Quizzes and assignments are given to help you build practical knowledge.
- The course requires you to have an intermediate knowledge of Python for assignments and mini workout sessions.
- Live video lectures help you to be interactive and ask for doubts to your instructor.
Time to Complete: 5 months/ 8-10 hours per week.
Rating: 4.6 out of 5
Price: $2350
Explore Applied Machine LearningData Science and Machine Learning Bootcamp with R (Udemy)
About the Course
In this course, you will learn to program in R, use R for data analysis and create data visualizations. You will be able to use R to handle csv, excel, SQL files or web scraping as well as to manipulate data easily.
You can also use R for machine learning algorithms and data science. This is one of the most comprehensive courses for data science and machine learning on Udemy.
USP of Course
- No prerequisites or prior knowledge is needed to enrol for this course.
- The course is handled by top instructors in Udemy who have proved themselves as industry experts.
- You are given assignments with a gradually increasing difficulty level.
- 127 Lectures + 8 Articles + 3 Downloadable resources + Full lifetime access
- You will be required to work on practical projects that give you a chance to apply knowledge gained from the lectures.
Time to Complete: 17.5 hours
Rating: 4.7 out of 5
Price: Rs.420 or USD 6
Explore Data Science and Machine Learning BootcampMaster of Science of Machine Learning (Imperial College London)
About the Course
A Master’s Degree is well-enough to boom career opportunities for anybody who desires to be Data Scientist.
The machine leaning course offered by Imperial College London will help you to build a portfolio to showcase your new skills in everything from probabilistic modelling, deep learning, unstructured data processing and anomaly detection.
You can also build a strong foundation in Mathematics and Statistics, giving you confidence in your analytical skills.
The course helps you to acquire expertise in implementing scalable machine learning solutions using industry-standard tools such as PySpark, ensuring that no data is too big or too complex for you.
USP of Course
- The programme will train students in the mathematical, computational, and statistical foundations of machine learning, giving them the ability to critique data analysis and implement scalable machine learning solutions.
- Students will also have the opportunity to broaden their horizons by participating in a programme-spanning module, the first of its kind, in ethics of machine learning and AI transparency, covering techniques to offset potential limitations and biases introduced by machine learning.
- Coursework will enable students to develop an in-depth understanding of the theories behind machine learning methods, alongside invaluable practical skills in Python and R to solve real world problems.
- The curriculum is designed to propel your engineering or data science career forward, allowing you to choose the path that’s right for you, be that a role as a data scientist, a machine learning engineer, or a computational statistician.
Time to Complete: 24 months
Rating: 4.5 out of 5
Price: £28000
Explore Master of Science of Machine LearningDeep Learning A-Z™: Hands-On Artificial Neural Networks (Udemy)
About the Course
This course helps you to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts.
With this course, you will understand the intuition behind Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Self-Organizing Maps, Boltzmann Machines and AutoEncoders.
You will also learn to apply these into practice after taking up the course.
USP of Course
- With the intuition tutorials you will be confident that you understand all the techniques on an instinctive level.
- The course and tutorials are designed in a robust structure to make it easy for you to master Deep Learning.
- You will work on Real-World datasets, to solve Real-World business problems and get some practical experience.
- The practical tutorials illustrate to write codes from scratch and hence, it will be better for you to understand.
- You are supported and your queries are cleared by a team of data scientist professionals.
- 35 articles + 5 downloadable resources + Full lifetime access + Access on mobile and TV + Certificate of Completion
Time to Complete: 22.5 hours
Rating: 4.4 out of 5
Price: Rs.420 or USD 6
Explore Deep Learning A-Z™Advanced Machine Learning Course by HSE (Coursera)
About the Course
The course introduces you to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. You will be able to apply modern machine learning methods in enterprise and understand the caveats of real-world data and settings. You will master your skills by solving a wide variety of real-world problems like image captioning and automatic game playing throughout the course projects.
USP of Course
- You can learn the modern AI techniques with this course.
- You will gain the hands-on experience of applying advanced machine learning techniques that provide the foundation to the current state-of-the art in AI.
- This is an advanced level course designed with a well-structured curriculum for people already in the industry.
- Flexible schedule allows you to set and maintain flexible deadlines.
- Top Kaggle machine learning practitioners and CERN scientists help you to learn theory and get acquainted with practice.
Time to Complete: 10 months/ 6 hours a week
Rating: 4.6 out of 5
Price: Free
Explore Advanced Machine Learning Course by HSEPost Graduate Diploma in AI & Machine Learning (Emeritus)
About the Course
The machine learning course offered by Emeritus helps you to understand the fundamentals of AI and machine learning and how to apply them to solve complex, real-world problems.
As this is a diploma programme, you need to have undergraduate knowledge of statistics, algebra, calculus and probability.
There are three modules of this program, which includes Applied Machine Learning, Applied Artificial Intelligence, and a Capstone Project.
USP of Course
- Emeritus offers a complimentary Python for Data Analytics certificate course to meet the prerequisite.
- You will learn from industry leaders and world-class faculty from renowned universities.
- Live online sessions and interactive discussions are held to clarify doubts and to enhance your knowledge.
- Assignments and practical workout exercises help you to put theory into practice.
- You will receive a professional certificate after completing all he three modules of the course curriculum.
Time to Complete: 9 months/ 7-8 hours a week
Rating: 4.6 out of 5
Price: $3000
Explore Post Graduate Diploma in AIMachine Learning, Data Science and Deep Learning with Python (Udemy)
About the Course
This is plainly speaking a career-oriented course that will teach you the techniques used by real data scientists and machine learning practitioners in the tech industry. Major portion of the course covers the machine learning, AI, and data mining techniques. You will learn how to build artificial neural networks to movie recommend systems, data visualizations and classifying images, data, and sentiments using deep learning.
USP of Course
- The course helps in opening up many career opportunities in various industries.
- Each concept is introduced and demonstrated using Python code you can experiment with and build upon, along with notes you can keep for future reference.
- This course comes from an analysis of real requirements in data scientist job listings from the biggest tech employers.
- The course starts with a crash course if you are a fresher to Python.
- The final project given will help you to apply whatever you have learnt.
- 6 articles + Full lifetime access + Access on mobile and TV + Certificate of Completion
Time to Complete: 14 hours
Rating: 4.5 out of 5
Price: Rs.420 or USD 6
Explore Machine Learning, Data Science and Deep LearningMachine Learning – Artificial Intelligence Course (Columbia University)
About the Course
With this course, you will get a solid understanding of the guiding principles of AI. You will be able to apply concepts of machine learning to real life problems and applications. The course covers broad applications of AI in fields of robotics, vision and physical simulation. You will be taught how to design and harness the power of Neural Networks.
USP of Course
- The course curriculum is designed into different modules that deals with Artificial Intelligence, Machine Learning, Robotics and Animation and CGI Motion.
- Assignments and projects are given as part of the course with deadlines to improve your experience and practice in the field.
- Course is handled by a team of expert instructors from Columbia University.
- This is a MicroMaster’s programme that comes with a professional certificate and credits.
- You will get a lot of career opportunities after taking this course. The course is designed in a career-oriented way.
Time to Complete: 1 year/ 4-8 hours per week
Rating: 4.5 out of 5
Price: $896.40
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