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Artificial intelligence and machine learning careers offer some golden opportunities for today’s youth. Everybody, from MNCs & research organizations to medium enterprises & unicorn start-ups, is looking for quality ML talent. As the demand for AI/ML booms, it opens excellent opportunities for aspirants to kickstart their AI/ML careers and land excellent, well-paying jobs.

In this era of digital learning, online courses are some of the best ways to acquire new skills & knowledge. Hence, AI and machine learning courses on MOOC platforms such as edX, Coursera, etc., are exceedingly popular, amassing millions of enrolments.  

But are these online courses genuinely beneficial? Can AI and ML courses impart knowledge & skills at par with accredited degree programs? Do these courses truly help land a job?

This article explores in-depth.

Investigating The Benefits of AI & ML Courses

Let’s begin with some statistics.

In an article published on, 10 of the best AI & ML courses across prominent MOOCs in 2022 were analysed. The following were the insights:

  • Combined, these courses together have accrued more than 6.6 million enrolments.
  • The most popular course has over 4 million enrolments by itself.
  • There are more than 500 positive reviews on Class Central, a leading search engine for online courses.

The numbers speak for themselves and are a testament to these courses’ genuine, concrete & long-term benefits.

Let’s look at the myriad benefits offered by one of the original ML courses that kicked off the popularity of MOOCs.

  • Helping Beginners Develop Strong Rudimentary Skills & Ideas

To date, the best machine learning course for beginners is Stanford University’s Machine Learning by Andrew Ng. With an average score of 4.9 from 170,525 ratings and 4.8 million enrolments, this course is one of the finest on the block.

  • Students develop strong foundational skills in machine learning. This course starts with the mathematical foundation of machine learning.

You understand how linear algebra, univariate & multivariate linear regression, and logistic regression allow machines to extract information from data.

  • The course dwells substantially on every integral topic, technique, algorithm, and model in machine learning. These include deep learning, support vector machines, backpropagation, k-means clustering, principal component analysis, artificial neural networks, etc.
  • Participants also develop vital insights on designing and leveraging large-scale machine learning projects.

By the end of the course, you can be sure of acquiring a broad understanding of the concepts & methods of machine learning. You will be able to tackle multi-class classification, anomaly detection, and much more. In addition, course-end projects in optical character recognition, predictive analytics, etc., will help develop astute ML skills.

  • Gaining Practical Perspectives Through Examples & Case Studies

A host of courses take a slightly different approach to machine learning. While many courses begin with mathematical foundations, there are specific courses that flip the script on the head. They dwell on the more tangible aspects with examples, case studies & exercises.

For example, the Machine Learning Foundations: A Case Study Approach online course by the University of Washington on Coursera takes this approach.

  • The course approaches case studies with well-defined context & objectives. Case study approaches allow students to look at machine learning from real-world perspectives. It approaches the subject pragmatically without glossing over the theoretical details.

Instead of learning how to do regressions, you learn how to predict housing prices using regression, mine data from an IKEA case study, or design plagiarism checkers for writing services.

  • Students learn about the primary programming language in machine learning, Python, and other rudimentary tools such as Jupyter Notebooks.
  • The course delves from case study to case study to illustrate different facets of

Learners will develop solid ideas about regression by studying its applications in prediction tasks, how classification identifies sentiments from user reviews, how clustering helps group-related articles, and deep learning identifies objects in images.

If you love learning through examples, then this course is for you. This course helps students map concepts with corresponding real-life examples.

Understanding concepts such as regression, classification, clustering, etc., designing models using Python, and how ML techniques make automation, feature extraction, and predictive analytics possible— you get to learn everything from a top-notch AI & ML course.

  • Staying At The Forefront of Future

Both humans and technology are getting smarter.  

Learning AI & machine learning algorithms from online courses can help you cover an extensive range of AI and machine learning tools & the latest industry-standard techniques. These courses are tailored to industry requirements and show learners how to implement their ideas & knowledge in practicality.

The content and structure of online AI and ML courses help learners implement in the industry. What students learn throughout the course can eventually lead them on to innovative & ground-breaking projects.

  • Enhancing Your Employability

Online courses on AI and ML can boost technical skills immensely. Upskilling with ML is an excellent avenue as these courses focus directly on skills actively sought after by businesses & the AI development sector.

You get to learn Python programming, machine learning, robotics, data science, and the most in-demand topics in AI, data sciences, business analytics, natural language processing, etc. As a result, learning new skills directly contributes to one’s employability. A credible Master’s program or a professional certificate course in AI & ML can make you an attractive candidate in the industry & sector.

  • Embracing Continual Learning

Courses on MOOC are accessible to one & all. They are delivered online through an open platform to any spot in the world. This allows learners to pace their studies at their convenience and learn flexibly. Furthermore, studying online will enable one to continue in their current job role to pursue a course in parallel with their other responsibilities.

  • Acquire The Best Practices In The Industry

As mentioned in the preceding point, the curriculum of AI and ML courses is industry-relevant and diverse. Courses on edX, Coursera, and major universities such as Stanford, MIT, Harvard, Leeds, etc., are crafted by leading researchers from the most prominent universities, technology companies, and research organizations.

These courses demand hard work, patience, dedication, strong problem-solving, computational, intuitive skills, and an intelligent approach. If you succeed, you become a part of an exciting, progressive, innovative, and highly advanced industry.

  • Network With Leading Experts Across The Globe

Studying an online or university course in AI/ML allows learners to build & expand their global network. Once you start learning, you will automatically find yourself connecting with professionals & experts around the world.  

Every online course and university program offers access to live seminars, discussion forums, group projects, and much more. Networking with people and, understanding concepts & solving challenges together can be an immensely enriching and a superb learning experience. Not only does it help develop a deeper understanding of AI, but it boosts social, communication, and teamwork skills.

The benefits of Artificial Intelligence & Machine Learning courses or programs are incredibly enriching. Enrolling in a top-tier course and finishing it successfully can shoot one’s career skywards and take one to the pinnacle of success.

If you love AI and ML, then the time is ripe! So grab your opportunity, study hard, and make your name in one of the most fascinating technological domains ever. All the best!

Author-Bio: Raymond M. Fernandez is a computer science and programming professor from a world-renowned university in the UK. He is also a part-time tutor and writer with, a leading global academic writing services.

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