Where to Take an Artificial Intelligence Course Online in 2026
Photo by Steve Johnson on Unsplash
Artificial intelligence is now part of nearly every industry, from healthcare to finance to education. If you're looking for an artificial intelligence course online, the options in 2026 range from free introductions to full master's degrees. Match the course to your experience level and career goals.
We evaluated AI programs on edX, Coursera and Udemy and picked the ones that teach usable skills.
The researcher who helped make modern AI possible
Fei-Fei Li is a computer science professor at Stanford University and co-director of the Stanford Institute for Human-Centered AI (HAI). She is best known for creating ImageNet, the massive labeled image dataset whose 2012 benchmark results helped trigger the deep-learning breakthrough that powers most of today's AI systems. She also co-founded the nonprofit AI4ALL, which works to broaden access to AI education, and previously served as chief scientist of AI/ML at Google Cloud.
Her career is worth knowing about before you start an artificial intelligence course online. The field rests on fairly recent breakthroughs, many tied directly to her work, and the computer vision and neural-network ideas in the courses below are the same ones ImageNet helped prove at scale. It is a young, fast-moving discipline that still has plenty of room for newcomers.
Fei-Fei Li, in her own words
Fei-Fei Li's TED talk on how machines learn to see: a clear, beginner-friendly look at the computer vision ideas behind modern AI.
Courses and programs
1. Harvard CS for AI Professional Certificate (edX)
Platform: edX | Institution: Harvard University | Duration: 5-10 months
Harvard's CS for AI certificate covers search algorithms, machine learning, neural networks and natural language processing. Built on CS50, it is one of the most academically rigorous artificial intelligence courses online, and it costs far less than a Harvard degree.
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2. UT Austin MS in Artificial Intelligence (edX)
Platform: edX | Institution: University of Texas at Austin | Duration: 18-24 months
If you want a full master's degree in AI, UT Austin's program on edX is one of the most respected options. The curriculum spans deep learning, computer vision, reinforcement learning and robotics. It's a serious commitment, and the career payoff for AI engineers is large, with median salaries above $150,000.
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3. IBM AI for Everyone (edX)
Platform: edX | Institution: IBM | Duration: 4-6 weeks
Not everyone taking an artificial intelligence course online needs to become an AI engineer. IBM's AI for Everyone is designed for business professionals, managers and anyone who wants to understand AI without writing code. It covers AI applications, ethics and business strategy at a high level.
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4. Machine Learning A-Z on Udemy
Platform: Udemy | Instructors: Kirill Eremenko & Hadelin de Ponteves | Rating: 4.5/5 (1.1M+ students)
The best-selling practical AI and machine learning course on Udemy. It covers regression, classification, clustering, deep learning and reinforcement learning with Python and R, and it's regularly $10-$15 during Udemy flash sales with no coupon code needed.
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Active coupon codes
100MLEARNERS: 10% off Harvard, UT Austin and IBM AI courses on edX
Udemy: flash sale pricing ($10-$15) on ML A-Z and other AI courses, no code needed
How to choose an AI course
If you have no coding experience, start with IBM AI for Everyone to get an overview. If you can code in Python, go straight to Machine Learning A-Z on Udemy or the Harvard CS for AI certificate. If you want the full academic credential, UT Austin's MS in AI is the strongest option at a reasonable price.
Frequently asked questions
Do I need a math background to take an artificial intelligence course online?
For introductory courses like IBM AI for Everyone, no. For technical courses like Harvard CS for AI or Machine Learning A-Z, some linear algebra, calculus and statistics helps but isn't always required, because many courses teach the math as you go.
Which artificial intelligence course online has the best career outcomes?
UT Austin's MS in AI leads to the highest-paying roles (median $150,000+). For a faster way into the field, the Harvard CS for AI certificate plus a portfolio of projects works well. Udemy's ML A-Z has also helped thousands of people move into data science and ML engineering roles.
Are free AI courses worth taking?
Yes. IBM AI for Everyone on edX can be audited for free, and Andrew Ng's Machine Learning Specialization on Coursera offers free access to lectures. Free courses are a good way to build a foundation before paying for a certificate or degree.
Featured image: Photo by Declan Sun on Unsplash
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