Machine learning (ML) is gaining popularity day by day because of its applications in multiple sectors. A better product can be delivered to customers with the help of machine learning, and it is demonstrated by several technology companies, be it Netflix, Amazon, or Spotify. It can enhance the overall experience of a product. Hence, people who have done a machine learning course and skillsets are in high demand.
There are many different platforms where you can get a machine learning certification course that can help you gain the required knowledge and certification for Machine Learning.
What is Machine Learning?
Machine Learning is a subset of the domain of Artificial Intelligence. ML is based on the development and implementation of algorithms and mathematical models. With proper training, You can make a system perform certain tasks and make decisions without explicit triggers or inputs from the user.
Mathematics forms the base of machine learning. Often, even software engineers can do well in their field without deep mathematical knowledge. But in the case of machine learning, you really need to know math.
Why Opt For Machine Learning Certification?
As mentioned above, the increasing demand gives the option to take up ML as a career for newbies. Even for the experienced IT professionals, who wish to switch their careers, machine learning knowledge can open up new avenues. Well, along with increasing demand, there are many different reasons to opt for machine learning Certification.
- As per payscale.com, the average salary for people knowing machine learning is 73K to 166K USD
- Increasing demand in machine learning jobs
- Its direct link to data science
- Tech giants are incorporating ML in its products. Some of the significant real-world examples of machine learning are Google assistant, Cortana, Siri, Netflix recommendations, Spotify playing the next song, and auto-reply feature in emails and messages, and auto-enhanced photos in popular photo services.
- Certification of any technology adds to your resume and portfolio.
So if you have a strong analytical, mathematical, and problem-solving approach with interest to learn new technology, then machine learning Certification is for you.
Top 24 Online Courses for Machine Learning Certification
We have compiled a list of best courses that offer specialization, degree, and course certification for machine learning. You can take up the course based on your requirements and expertise. Some courses do require some prior knowledge, and you can check out the mentioned prerequisites before taking up the course.
Note: All the courses from Udemy have lifetime free access with mobile and TV compatibility.
Pro tip: If you are interested in enrolling in a course from Udemy, you may want to wait for one of their promotions before purchasing. Udemy frequently offers promotional discounts that can range anywhere between 10% to 90%. Please do note that not all courses have this promotion.
1. Machine Learning from Coursera
Offered by Stanford University, this machine learning certification course covers the theoretical concepts of machine learning, along with practical knowledge. The instructor Andrew Ng also tells you about the best practices of Silicon Valley for ML. The course is one of the highest-rated courses from Coursera.
The expertise of the instructor will not only help you learn machine learning concepts but also implement them with best practices. If you wish to establish a career as a machine learning Engineer or Data Scientist, then you can take up this course. This is a foundational course and is highly recommended for anyone interested in this field.
Key Features
- Learn the foundations of machine learning
- Know about supervised and unsupervised learning
- Gain knowledge about best practices in machine learning to apply them
- Learn how to implement the gained skills in various applications like smart robots, data mining, computer vision, anti-spam apps.
Online Course Duration – 56 hours
Ratings – 4.9/5
No. of Students Enrolled – 2,800,600+
Completion Certificate – Yes
Price – The price for the course with a Certificate is 79 USD. If you just wish to access resources, then you can enroll for free.
Sign up for Machine Learning from Coursera here
2. Machine Learning Certification Course from Simplilearn
You can get the knowledge of how to develop algorithms using supervised and unsupervised learning, time-series modeling, regression, and working with real-time data. This machine learning course also explains the use of Python in machine learning. The course is suitable for intermediate level learners like researchers, developers, analysts, and information architects.
What do you Need to Get Started?
- High school mathematics and statistics
- Knowing Python programming language is an added advantage
- Statistics essential for data science
Key Features
- Study 4 industry-level project of tech giants that include Mercedes, Amazon, IDB, and Uber
- Learn about supervised and unsupervised learning
- Gain practical knowledge
Online Course Duration – 44 hours
Ratings – 4.5/5
No. of Students Enrolled – 7900+
Completion Certificate – Yes
Price – Self-Paced Learning charges are 699 USD, weekend/weekday classes along with self-paced learning charges are 799 USD
Sign up for Machine Learning Certification Course here
3. Exam Readiness: AWS Certified Machine Learning – Specialty from AWS Training and Certification
This course does not offer any certificate after completion, but it will help you get prepared for AWS Certified Machine Learning – Speciality exam. The course is fully exam-oriented. It will help you with questions about each domain of the exam. You will learn about core AWS services along with other concepts like Data Engineering, Exploratory Data Analysis, Data Modeling, Machine Learning Implementation, and Operations.
This course is not for beginners or people new to machine learning. The course requires one year of practical experience in ML. Once you are done with the course, you can easily get machine learning certification done from AWS.
What do you Need to Get Started?
- Know the basic ML algorithms and hyperparameter optimization
- Experience of ML, deep learning frameworks, model training, deployment, and operational best practices
- Familiarity with ML pipeline and its component
Key Features
- Learn the technical topics related to exam domains
- Know effective strategies to take up the AWS exam
- Understand machine learning from an examination point-of-view
Online Course Duration – 4.5 hours
Completion Certificate – Yes
Price – Free
Sign up for AWS Certified Machine Learning here
4. Machine Learning: From Data to Decisions from MIT
Machine learning is not just for developers, but also for product owners, executives and other higher-level decision-makers. Well, this machine learning certification course can be considered as there is no coding required. The online classes are conducted by Prof. Devavrat Shah who explains real-world applications of ML, which can help you implement it for various scenarios in your business.
An advantage of taking this course is that there are not many prerequisites required to get started. Hence, it can be taken by technical as well as non-technical professionals.
What do you Need to Get Started?
- Basic knowledge of statistics will be helpful
Key Features
- Learn about different techniques and tools used in machine learning application
- Gain practical knowledge by knowing the real-world applications and use cases
- Understand Data Prediction, Decision Making, and Causal Inference
Online Course Duration – 8 weeks (6-8 hours per week)
Completion Certificate – Yes
Price – 2300 USD
Sign up for Machine Learning: From Data to Decisions here
5. Machine Learning A-Z™: Hands-On Python & R In Data Science from Udemy
If you are interested in learning machine learning from the developer’s point of view, then this course is for you. The beginners can opt for this course as no prior development knowledge is required. The instructors Kirill Eremenko and Hadelin de Ponteves, explain in detail how to build an algorithm using Python and R with the help of the SuperDataScience Team.
What do you Need to Get Started?
- High school math
Key Features
- Learn to make different ML models and then combine them to form a solution
- Learn to make predictions
- Gain knowledge about topics like NLP, Reinforcement Learning, and Deep Learning
Online Course Duration – 41 hours
Ratings – 4.5/5
No. of Students Enrolled – 556,500+
Completion Certificate – Yes
Price – 199.99 USD
Sign up for Machine Learning A-Z™: Hands-On Python & R In Data Science here
6. Essential Math for Machine Learning: Python Edition from edX
As you know, to get started with machine learning, one needs to know the math. This course will help you with essential mathematical concepts. It won’t teach you full high school math, but only the concepts which are needed in understanding ML. There are no prerequisites for this machine learning certification course.
This course is offered by Microsoft, which also offers an intuitive, downloadable software Microsoft Mathematics for you to practice math on your computer.
Key Features
- Learn Equations, Graphs, and Functions
- Understand and Optimization and Differentiation
- Learn Vectors, Matrices, Statistics, and Probability
Online Course Duration – 6 weeks (6-8 hours per week)
Completion Certificate – Yes ( 99 USD for verified certificate)
Price – Free
Sign up for Essential Math for Machine Learning: Python Edition here
7. Machine Learning Fundamentals from edX
This is an advanced level course that shows how to make data-driven prediction models using machine learning. The instructor Sanjoy Dasgupta explains real-world applications to learn concepts in a better way and also gain practical expertise.
If you are from Iran, Cuba, and the Crimea region of Ukraine, unfortunately, you cannot take up this course, as edX does not offer this machine learning certification course in the mentioned regions.
What do you Need to Get Started?
- Python for Data Science (You can look for this specific course in edX)
- Probability and Statistics in Data Science using Python (You can look for this specific course in edX)
- Knowledge of multivariate calculus and linear algebra
Key Features
- Learn about linear and nonlinear models alone with generative and discriminative models
- Know ensemble models
- Study representation learning using clustering, dimensionality reduction, autoencoders, and deep nets
Online Course Duration – 10 weeks (8-10 hours per week)
Completion Certificate – Yes (350 USD for verified certificate)
Price – Free
Sign up for Machine Learning Fundamentals here
8. Python for Data Science and Machine Learning Bootcamp from Udemy
The developer who wishes to take machine learning training can opt for this course. With this course, you can learn to use NumPy, Plotly, Pandas, Seaborn, Matplotlib, Scikit-Learn, Machine Learning, and Tensorflow. You can use the power of Python with Machine Learning and Data Science. The instructor Jose Portilla designed the course for beginners and experienced developers who wish to make the switch.
What do you Need to Get Started?
- Basic programming experience is required
- Admin rights of your machine
Key Features
- Learn neural networks, k-mean clustering, and linear regression
- Implement ML algorithms
- Learn programming for machine learning with Python
- Study about NLP and spam filters
Online Course Duration – 25 hours
Ratings – 4.6/5
No. of Students Enrolled – 308,500+
Completion Certificate – Yes
Price – 194.99 USD
Sign up for Python for Data Science and Machine Learning Bootcamp here
9. Machine Learning Specialization from Coursera
The University of Washington offers this machine learning specialization course. The instructors Carlon Guestrin and Emily Fox explain different case studies to help you gain practical knowledge. This specialized machine learning certification consists of 4 courses.
- Machine Learning Foundations: A Case Study Approach
- Machine Learning: Regression
- Machine Learning: Classification
- Machine Learning: Clustering & Retrieval
Once you finish this course, you can leverage your new skills to secure a promotion, a new job or a new career path.
Key Features
- Explore different areas of ML, which includes clustering, prediction, classification, and information
- Learn to analyze large and complex datasets
- Make applications that can carry out data prediction
Online Course Duration – 8 months (7 hours per week)
Ratings – 4.7/5
No. of Students Enrolled – 73,900+
Completion Certificate – Yes
Price – 7 days free trial (Plan charges are 49 USD per month)
Sign up for Machine Learning Specialization here
10. Building Recommender Systems with Machine Learning and AI from Udemy
Recommender systems are all the rage on the internet as most services want to recommend the next thing to watch, read or purchase to their audience. If you are also interested in giving your customers the recommended items in your app, then this is a perfect machine learning certification course for you.
In this course, the instructor Frank Jane will explain to you how to build recommender systems using neural networks, deep learning, and machine learning. This is a very interesting course with immediate practical applications.
What do you Need to Get Started?
- A system with any Operating System (OS) and 3GB free space
- Familiarity with Python programming language
- Ability to grasp new algorithms
Key Features
- Learn to build recommendation algorithms using Python
- Apply the recommender system on your applications
- Use the concept of K-Nearest-Neighbors to recommend items
- Learn how to use Apache Spark
Online Course Duration – 10 hours
Ratings – 4.6/5
No. of Students Enrolled – 8000+
Completion Certificate – Yes
Price – 179.99 USD
Sign up for Building Recommender Systems with Machine Learning and AI here
11. Machine Learning for Data Science and Analytics from edX
This is an introductory level course on machine learning from edX. You will get enough exposure to algorithms related to ML, which will help you build applications better. Columbia University offers this course. At the end of this machine learning certification course, you will be able to understand why algorithms play an important role in big data analysis.
What do you Need to Get Started?
- High school level mathematics
- Basic understanding of programming languages
Key Features
- Understand the concept of ML and its relation with statistics and data analysis
- Learn to use data patterns to make prediction and decisions
- Know the frequently used algorithm techniques like searching and sorting
Online Course Duration – 5 weeks (7-10 hours per week)
Completion Certificate – Yes (99 USD for verified certificate)
Price – Free
Sign up for Machine Learning for Data Science and Analytics here
12. Machine Learning, Data Science and Deep Learning with Python from Udemy
This course helps you gain practical experience in machine learning, artificial intelligence, data science, neural networks, and Tensorflow. The instructor, Frank Kane, will help you have insight into how the giants like Google, Amazon, and Udemy use data sets to give recommendations. In this course, you will learn how to install the software and application needed to run your ML codes. You will also have machine learning certification at the end of the course, which you can add in your resume.
What do you Need to Get Started?
- A system capable of running Anaconda 3
- Coding and Scripting knowledge
- High school mathematics is required
Key Features
- Learn to implement an artificial neural network using Tensorflow and Keras
- Know how to make simple predictions using polynomial regression, multivariate regression, and linear regression
- Learn deep learning to classify images, sentiments, and data
- Study reinforcement learning
- Use Apache Spark’s MLLib to implement ML at massive scale
- Implement a movie recommendation system
Online Course Duration – 14 hours
Ratings – 4.5/5
No. of Students Enrolled – 120,000+
Completion Certificate – Yes
Price – 189.99 USD
Sign up for Machine Learning, Data Science and Deep Learning with Python here
13. Investment Management with Python and Machine Learning Specialization from Coursera
This specialized machine learning certification course emphasizes investment based decision making using machine learning. The series of lab sessions will help you get practical expertise in making accurate investment decisions using Python programming language. This specialization consists of 4 courses.
- Introduction to Portfolio Construction and Analysis with Python
- Advanced Portfolio Construction and Analysis with Python
- Python and Machine Learning for Asset Management
- Python and Machine-Learning for Asset Management with Alternative Data Sets
Once done with the course, you can use the gained knowledge to make better investments.
Key Features
- Learn supervised and unsupervised learning
- Know how to write codes in Python to estimate risks and return parameters
- Understand advanced data analytics methodologies along with quantitative modeling
Online Course Duration – 2 months (13 hours per week)
Ratings – 4.4/5
No. of Students Enrolled – 3100+
Completion Certificate – Yes
Price – 7 days free trial (Plan charges are 39 USD per month)
Sign up for Investment Management with Python and Machine Learning Specialization here
14. Data Science and Machine Learning Bootcamp with R from Udemy
If you are not interested in using Python for machine learning, then you can opt for the R programming language. This course explains the concepts of data science, and ML with R. The instructor for this course is Jose Portilla. Anyone who wishes to learn machine learning can opt for this course, as no prerequisites are needed except some basic math knowledge.
What do you Need to Get Started?
- A machine with download rights
- High school level mathematics
Key Features
- Learn to manipulate data using R
- Develop machine learning algorithms with R
- Use R for data science and data analysis
Online Course Duration – 17.5 hours
Ratings – 4.6/5
No. of Students Enrolled – 51,500+
Completion Certificate – Yes
Price – 194.99 USD
Sign up for Data Science and Machine Learning Bootcamp with R here
15. Quantum Machine Learning from edX
The University of Toronto offers this course, and the instructor is Peter Wittek. It explains all about quantum-enhanced machine learning. You will learn the advantages of the future and current quantum technology provided to ML.
The frameworks used to implement protocols in the course are free Python frameworks. Once you are done with the machine learning certification course, you will know how to leverage quantum machines for ML
What do you Need to Get Started?
- Intermediate level Python
- Statistical mechanics, quantum physics, or machine learning is highly recommended
- Linear algebra, complex numbers, and calculus
Key Features
- Know about the quantum computing paradigm related to ML
- Implement machine learning algorithms on quantum computers in Python
- Learn how to use quantum resources in machine learning
Online Course Duration – 9 weeks (6-8 hours per week)
Completion Certificate – Yes (49 USD for verified certificate)
Price – Free
Sign up for Quantum Machine Learning here
16. Advanced Machine Learning Specialization from Coursera
This is an advanced level specialization in machine learning. This machine learning certification will help you fill in the gap between theoretical and practical knowledge. It consists of 7 courses, which include:-
- Introduction to Deep Learning
- How to Win a Data Science Competition: Learn from Top Kagglers
- Bayesian Methods for Machine Learning
- Practical Reinforcement Learning
- Deep Learning in Computer Vision
- Natural Language Processing
- Addressing Large Hadron Collider Challenges by Machine Learning
After completing this specialization, 50% of people started a new career in ML, while 46% got promotions and salary hikes. The time taken to finish this course depends on the efforts and prior knowledge.
Key Features
- Learn about deep learning, natural language understanding, reinforcement learning, Bayesian methods, and computer vision.
- Know how to apply ML in real-world situations
Online Course Duration – Flexible
No. of Students Enrolled -13,600+
Completion Certificate – Yes
Price – 7 days free trial (Plan charges are 49 USD per month)
Sign up for Advanced Machine Learning Specialization here
17. Machine Learning with TensorFlow on Google Cloud Platform Specialization from Coursera
Google Cloud offers this special machine learning certification. It will help you learn machine learning with Google Cloud and know the end to end application. This specialization comprises of 5 courses.
- How Google does machine learning
- Launching into machine learning
- Intro to TensorFlow
- Feature Engineering
- Art and Science of Machine Learning
If you are already working on the Google cloud or interested in it, then you may opt for this course.
Key Features
- Learn to use Google Cloud platform to implement end to end ML applications
- Implement distributed models using Tensorflow
- Make ML learn important part from raw data
Online Course Duration – 1 month (16 hours per week)
Ratings – 4.5/5
No. of Students Enrolled – 43,400+
Completion Certificate – Yes
Price – 7 days free trial (Plan charges are 49 USD per month)
Sign up for Machine Learning with TensorFlow on Google Cloud Platform Specialization here
18. From 0 to 1: Machine Learning, NLP & Python – Cut to the Chase from Udemy
This machine learning certification course can be taken up by beginners who wish to know about natural language processing. The instructor for this course is Loony Corn. At the end of the course, you will know the real-world ML applications. If you wish to gain practical knowledge, then you need to know the basic level of Python programming.
What do you Need to Get Started?
- High school level maths
- Knowing basic of Python will be helpful (If you wish to run codes given in the course)
Key Features
- Know the scenarios where the ML can be applied
- Solve problems like text classification and summarization using ML and NLP
- Choose appropriate solutions based on the type of ML problem
Online Course Duration – 20 hours
Ratings – 4.1/5
No. of Students Enrolled – 8500+
Completion Certificate – Yes
Price – 99.99 USD
Sign up for Machine Learning, NLP & Python here
19. 2020 AWS SageMaker, AI and Machine Learning – With Python from Udemy
If you wish to get AWS certification for ML, then this is a good option for you. This course not only explains the concepts related to the exam but also provides you with practice tests and resources for Certified Machine Learning – Specialty Certification. This machine learning certification will add to your portfolio, though there are some prerequisites for the course.
What do you Need to Get Started?
- Understanding of Python
- AWS account
- Knowledge of Numpy, Pandas, and Matplotlib
Key Features
- Learn AWS ML algorithm
- Implement the ideas into real-world product
- Learn to use simple and secure APIs for your application
Online Course Duration – 13.5 hours
Ratings – 4.4/5
No. of Students Enrolled – 12,500+
Completion Certificate – Yes
Price – 199.99 USD
Sign up for AWS SageMaker, AI and Machine Learning – With Python here
20. The Machine Learning Pipeline on AWS from AWS Training and Certification
In this course, you will learn each phase of the pipeline to use them in real-world applications. The course is perfect for developers, data engineers, solution architects, and someone with prior ML experience.
After finishing this course, you can implement the machine learning models with AWS. This course provides a virtual classroom at your location, which gives you the feel of a live classroom.
What do you Need to Get Started?
- Knowledge of Python programming language basics
- Basic know-how of AWS cloud infrastructure, especially Amazon S3 and Amazon Cloud Watch
- Understanding of Jupyter notebook environment
Key Features
- Learn to use machine learning with Amazon SageMaker
- Know how to design secure, scalable and cost-optimized pipelines in AWS
- Make appropriate use ML with AWS for real-world applications
Online Course Duration – 4 days
Completion Certificate – Yes
Price – 2800 USD
Sign up for The Machine Learning Pipeline on AWS here
21. Bayesian Machine Learning in Python: A/B Testing from Udemy
If you are interested in testing using machine learning, then you can opt for this course. The course is created by Lazy Programmer Inc. This course traditionally approaches A/B testing, such that its complexity is understood in a better way.
Once you understand A/B testing, you can get into Bayesian ML concepts. This machine learning certification course will give you a solid base of Bayesian technology so that you can strongly apply it.
What do you Need to Get Started?
- Probability
- Fundamentals of Python coding
- Numpy, Matplotlib, and Scipy
Key Features
- Improve A/B testing performance by using adaptive algorithms
- Learn to apply Bayesian technology to A/B testing
Online Course Duration – 6 hours
Ratings – 4.6/5
No. of Students Enrolled – 18,620+
Completion Certificate – Yes
Price – 119.99 USD
Sign up for Bayesian Machine Learning in Python: A/B Testing here
22. Machine Learning Cornell Certificate Program from eCornell
This machine learning course is for people who wish to implement algorithms using Python. Programmers, developers, data analysts, statisticians, data scientists, and software engineers can take up this course and get certified for the same.
The instructor Kilian Weinberger uses Python and the NumPy library for coding. You don’t require any knowledge of ML, but you need some other prerequisites.
What do you Need to Get Started?
- Basics of Python
- Knowledge of probability theory, statistics, multivariate calculus, and linear algebra
- High school maths
Key Features
- Learn a variety of ML algorithms
- Implement different mental models
- Gain knowledge of neural networks
- Learn how to implement machine learning with Python
Online Course Duration – 2 weeks (6-9 hours)
Completion Certificate – Yes
Price – 2520 USD
Sign up for Machine Learning Cornell Certificate Program here
23. Machine Learning for Analytics MasterTrack™ Certificate from Coursera
This MasterTrack course is offered by The University of Chicago, which is the 3rd ranked university in the US. This course comprises the algorithm, data mining techniques, and predictive analysis. If you have already enrolled in the Master of Science in Analytics (MSc.A) in the same university, then this course will add to it.
You will have a MasterTrack Machine Learning Certification at the end of this course. Well, there are some important prerequisites for this course. You can check out in the next section if you fit in the course prerequisites.
What do you Need to Get Started?
- Undergraduate education in statistics, linear algebra, and basic programming (Python) or professional experience in the same
Key Features
- Learn to conduct predictive modeling using classification, regression trees, logistic regression, and multinomial logistic regression
- Learn to build an analytical model using Python
- Know how to conduct exploratory analyses via multi-mode and single-mode cluster analyses
Online Course Duration – 5 months
Completion Certificate – Yes
Price – 4000 USD
Sign up for the course Machine Learning for Analytics MasterTrack™ here
24. Production Machine Learning Systems from Pluralsight
This is an advanced level course from Pluralsight offered by the Google Cloud Platform. The course will explain the components along with the best practices of a machine learning system in a production environment.
Key Features
- Learn components of ML
- Know how to design hybrid and high-performance ML systems
- Learn to ingest data for cloud-based analytics and machine learning
Online Course Duration – 3 hours 18 mins
Completion Certificate – Yes (For Premium users)
Price – Personal account charges are 299 USD/year, and Premium account charges are 449 USD/year
Sign up for Production Machine Learning Systems here
Final Thoughts
Machine learning has its application in various sectors. The above list of courses is compiled in a way such that people from different backgrounds and interests can find the perfect course for them. All you need to check is prerequisites, the course content, and get started.
If you are specifically looking for machine learning certifications, then you can opt for courses focused on these certifications. To develop expertise in the machine learning domain, consider opting for a longer-term, specialization course. There is something for everyone, irrespective of your knowledge or current experience in the field of machine learning.
