6 Best Machine Learning Engineering Courses [2021 APRIL]

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Machine Learning Engineering is a career game-changer for highly ambitious Technology Professionals leading to better opportunities, more credibility, and significantly higher pay. To help you learn Machine Learning, we have done extensive research and brought to you the tried and tested Best Six Machine Learning Engineering Courses, Certifications, Classes, Tutorials, and Training programs available online for 2021.


6 Best Machine Learning Engineering Courses [2021 APRIL]

1. Become a Machine Learning Engineer (Coursera)

This complete tutorial of machine Learning facilitates a compilation of several Machine Learning related courses structured in a step-by-step way to make you a pro from a beginner. You are eligible to enroll in this whether you have little or no experience. The courses are divided into four parts, Prerequisite part, Beginner part, Intermediate part, and Advanced part. Each part consists of several mini-courses, and you can pursue them according to your skill level.


Key USPs –

– You will learn to build data-driven applications and neural networks.

– Learn applied machine Learning, network analysis, text mining, deep learning, Google cloud platform integration, and recommender systems.

– You can start from any level, follow a simple structured way, customize your learning plan, and track your progress.

– You can access the course contents on mobile and PC at your own pace.

– Work on hands-on projects to be job-ready. Partake in global peer discussion forums to clear your doubts.

– Get a course completion certificate to showcase on your CV or LinkedIn profile.


Duration: Self-paced

Rating: 4.5 out of 5

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Review: In less than three years, I’d more than doubled my take-home pay, and that’s not even counting the equity – and it was an offer to do my hobby as my full-time job! – Doug Wade



2. Become a Machine Learning Engineer (Udacity)

This Nanodegree Program by Udacity teaches you the advanced algorithms of Machine Learning that help you become a proficient Machine Learning engineer. With this course, you will get to know the best techniques like packaging and deploying your inventions to a production environment. The instructors of this course are highly competent Machine Learning experts. Intermediate knowledge of Machine Learning Algorithms like Deep Learning, Supervised, and Unsupervised models, Python programming knowledge, and a minimum of 40-hour programming experience are the prerequisites to enroll in this course.


Key USPs –

– You will get to work on hands-on projects from the leading industry experts to enhance your tech skills.

– A technical mentor will provide you one-on-one coaching to answer your questions, clear your doubts, and keep you on track.

– To sharpen your career path, you will receive interview preparation tips, career coaching sessions, and resume revisions.

– The course duration is three months if you put 10 hours a week into learning. But you can choose those 10 hours according to your schedule.

– Get resource suggestions and constructive feedback from your mentors and the global learning community.


Duration: 3 months

Rating: 4.6 out of 5

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Review: This course has taught me a lot of things that are essential for a Machine learning Engineer – Arief R.



3. Machine Learning Course by Stanford University (Coursera)

Coursera offers this Machine Learning course by Stanford University. The instructor of this course, Andrew Ng, is an adjunct professor at Stanford University, and the co-founder of Coursera as well. In this course, Andrew teaches the foundation of Machine Learning, Statistical Pattern Recognition, Data Analysis, and Datamining. As the outcome of enrolling in this course, you will learn the practical techniques of Machine Learning, and how to implement them to get things done. The course will not only give you a theoretical overview but also help you in learning through practical applications.


Key USPs –

– Learn the best innovations and practices of Machine Learning and Artificial Intelligence in Silicon Valley.

– Followed by several case studies and implementations, this course lets you apply your algorithm learnings to build smart robots.

– Learn the Linear Regression, its applications, and the Gradient Descent learning method.

– Learn Linear Algebra, Logistic Regression, Regularization, Neural Networks, Machine Learning System Designing, Support Vector Machines, Unsupervised Learning, Dimensionality Reduction, Anomaly Detection, Recommender Systems, etc.

– This course facilitates 56 hours of video lessons in the English language, and course completion certificate issued at the end of the course.


Duration: Self-paced

Rating: 4.9 out of 5

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Review: It was a great learning experience. All the lectures were in details. – Nikhil J



4. Machine Learning Engineering Courses (edX)

edX offers a plethora of exclusive Machine Learning and Artificial Intelligence courses. In this list of Machine Learning courses compiled by the experts of edX, they have included real college courses from MIT, Harvard, Microsoft, IBM, Caltech, Columbia, and other major universities. These courses are carefully designed to provide you with the right skills that will help you to pursue a lucrative tech career. Whether you are a Machine Learning beginner or want to hone your tech skills to a new level, edX has courses for all your needs. You will also get the option of trying a course before you pay for it.


Key USPs –

– Learn the data science essentials like Machine Learning and R with real-world case studies and Machine Learning Math essentials.

– Get to know the concepts of Data Science, Python, Artificial Intelligence, Data Analytics, Data Structure, Automotive Technologies, Natural Language Processing, Reinforcement, Speech Recognition, etc.

– Learn the use of Machine Learning applications, its tools, techniques, and how to publish a report after completing a project.

– Learn to design and develop intelligent agents using Artificial Intelligence to solve real-world challenges.

– Learn to program robots to perform real-time physical tasks.

– You can consume the course contents as per your convenience.


Duration: Self-paced

Rating: 4.5 out of 5

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5. Machine Learning (Stanford Online)

Artificial Intelligence is the future of Technology. And when it comes to technological studies, Stanford stands tall with is high-end study programs. The online Machine Learning program offered by Stanford School of Engineering teaches you the fundamentals of Artificial Intelligence, Machine Learning, and Data Science. The instructors of this program are industry leaders who have immense experience in efficiently communicating complex tech concepts. The enrolment option opens every quarter, and you need to complete your Non-Degree Option application to be considered for enrolment. It would be best if you are a Computer Science student to join this course. Having basic programming knowledge in Java, Python, and C++ is also a prerequisite. This course is beneficial for Software Engineers, Mathematicians, Statisticians, Analytics Professionals, Data Miners, Market Researchers, Predictive Modelers, and other related professionals.


Key USPs –

– Explore the useful applications of Data Science and Machine Learning to design and develop machine algorithms.

– Learn the fundamentals of Supervised Learning, Unsupervised Learning, Deep Learning, Learning Theory, and Reinforcement Learning.

– Learn to create computer systems for autonomous navigation, data mining, Artificial Intelligence probabilistic models, knowledge representation, robotic control, and other exciting tools.

– Learn to extract information easily from massive databases like large document repositories, social-network graphs, large websites, etc.


Duration: Self-paced

Rating: 4.5 out of 5

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6. Professional Certificate Program in Machine Learning (MIT Professional Education)

The Professional Education division of MIT offers a comprehensive Machine Learning and Artificial Intelligence Professional Certificate Program. The inception of Machine Learning has created an all-new category of job opportunities. MIT has always been in the headlines for leading the Machine Learning and Artificial Intelligence space. If you want to be an active player in this ever-evolving industry, then this course is here to help you enhance your knowledge about Deep Learning, Predictive Analytics, Natural Language Processing, and much more. To join this program, you need to have a bachelor’s degree in any technical stream along with a minimum of three years of working experience in a technical profile.


Key USPs –

– There are two core courses that you have to take, one is Machine Learning for Big Data and Text Processing Foundations, and the other one is Machine Learning for Big Data and Text Processing Advanced.

– This is an on-site course to be held at the MIT campus. Along with the core courses, you will get the option to choose from the elective courses to pursue.

– Learn to implement cutting-edge techniques and industry-relevant knowledge to develop efficient AI systems.

– Get a globally accredited professional certificate from MIT and get networking opportunities with MIT alumnus.


Duration: 5-day

Rating: 4.5 out of 5

You can Sign up Here


So, these were the best 6 Machine Learning Engineering Courses, Classes, Tutorials, Training, and Certification programs available online. Cheers to your success, Team Digital Defynd!