Artificial intelligence is the cutting-edge technology permeating lots of industries today: advertising, government, entertainment, conversational analytics and (of course) chatbots. But despite being an ever-developing and en vogue technology, educational materials around artificial intelligence and machine learning are quite easy to come by. Moreover, internet is your best friend when it comes to finding great artificial intelligence courses!
If you want to learn about machine learning, deep learning and using AI to synthesize data, now is the time to start—and now you can from the comfort of your home. Whether you need a basic introduction to AI or want to become an expert, start with
one of these online AI courses. We’ve included the best machine learning MOOCs from some of the brightest minds in the industry.
Best Artificial Intelligence Courses You Can Find Online
Machine Learning Specialization from University of Washington
Okay, this one isn’t actually a course. It’s a four-course specialization that will teach you everything you need to know from some of the best online AI courses out there. Because it’s a set of courses, you’ll need to commit to a few months of study, with each course running at least 6 weeks. Also, you’ll begin with a foundational course before diving deeper into machine learning as you go.
The foundational course alone provides practical, real-world experience in applying machine learning, so it’s a great starting point if you’re unsure about taking on the other courses too. Projects you’ll encounter in this specialization include predictive analysis, classification and clustering of information using machine learning algorithms. Find details on each course here.
Creative Application of Deep Learning with TensorFlow by Parag Mital
This is perhaps the best machine learning MOOC for developing creative applications of AI. It covers the technical basics of building algorithms as well as new and interesting ways they can be used. This is a great starting point for those who want to wrangle with the cutting-edge potential of deep learning. This is among Class Central’s Top 50 MOOCs of All Time.
You’ll receive practical experience creating datasets, developing and training your own neural networks, and synthesizing content and information. Check out this artificial intelligence online course here.
Machine Learning from Stanford University
Another one of Class Central’s Top 50 MOOCs of All Time, this course provides a world-class Stanford education online and is named the best machine learning MOOC by some. In fact, it’s taught by Andrew Ng, founder of Google Brain and former chief scientist at Baidu. The course delves into both supervised and unsupervised machine learning, and students gain an understanding of datamining, computer vision, textual understanding, neural networks and other applications of AI.
If you want an extremely comprehensive course on AI and deep learning from one of tech’s best thinkers, check out the course here.
Machine Learning from Columbia University
If you’re looking for machine learning courses from the Ivy League, check out this one from Columbia University. Archived and available online for free, you can tackle the class materials on your own schedule and pace. You’ll learn about probabilistic versus non-probabilistic modeling; supervised versus unsupervised learning; and topics such as:
- Clustering methods
- Sequential models
- Topic modeling and model selection
- …and more!
Beware, though, that while this is a great course to learn about machine learning, it’s not for newbies. You’ll want to be accustomed to advanced mathematics (like calculus, statistics etc.) and have coding experience before you begin. Those who feel up to the challenge can access the course here.
Machine Learning Engineer Nanodegree by Udacity
This comprehensive, six-month program will teach you everything you need to know about machine learning and AI. In fact, the program is a compilation of the best artificial intelligence courses offered by Udacity, making it a great artificial intelligence online course for those who don’t know where to begin.
This is another career-ready program upon completing, as students will have developed a portfolio of practical projects related to machine learning and AI development. In addition to the portfolio, career guidance is offered to successful students, further sweetening the deal. Find the program and its contents here.
Data Science and Machine Learning with Python by Frank Kane
This video-heavy course features nine hours of lessons and tutorials, making it a great option for those who want to learn about AI and machine learning on their own time. The course is taught by Frank Kane, who teaches from his experience working at Amazon and IMDB.
Finally, this option is by far the most newbie-friendly of any in the list. It doesn’t rely on industry jargon and requires only a high school-level understanding of math. See all it has to offer here.
Learning From Data from CalTech
Unlike other machine learning courses on this list, this CalTech course is totally free, with a full video library hosted on YouTube and iTunes. Despite its being free, it’s no joke. Instructor Yaser Abu-Mostafa (who wrote an entire textbook on the subject at hand) prides it as being “a real CalTech course, not a watered-down version.” This, combined with its nonexistent price tag, makes it among the best artificial intelligence courses for hobbyists who don’t want to commit to a course. Besides, students can work entirely at their own pace. Find the course overview and its full list of (free!) resources on its website.
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