We Analyzed 1,762 AI Courses — Which Platforms Actually Dominate AI Education in 2026

We recently analyzed 349 AI learning paths. This time we went one level deeper — to the 1,762 individual AI courses those paths are built from — to answer a simpler question: when you learn AI online, whose courses are you actually taking, and what do they cost? Here is what the data shows.

1. Udemy runs the show — and two platforms own the majority

Course count by provider (top of the list):

Udemy alone accounts for more than a third of all AI courses (36%) — more than Coursera, Educative, edX, and DataCamp combined. Add Coursera and just two platforms supply ~53% of all AI courses (932 of 1,762). The "AI course landscape" is, in practice, a Udemy-and-Coursera duopoly with a long tail of specialists.

2. 39% of AI courses are free — it's more accessible than people think

Despite the duopoly, the catalog is far from paywalled:

• 681 courses (39%) are free.
• By pricing model: freemium 390, paid 387, free 235, subscription 109.

Between fully-free and free-to-audit options, a large share of AI education costs nothing to start. The barrier to learning AI in 2026 isn't money — it's knowing what to take and in what order.

3. Every AI course is rated 4.5 stars (which makes ratings useless)

Across the 1,168 courses with a rating, the average is 4.49 / 5, and the median is exactly 4.5.

When nearly everything scores 4.5★, the rating stops being a signal. It tells you a course isn't a disaster — but it can't tell you which of two 4.5★ courses is right for you. Rating inflation is one reason picking individual courses by stars is a trap, and why a curated, sequenced path beats a star-sorted search.

4. The courses are intermediate — but the paths are beginner

Here is the most interesting cross-study finding. The underlying courses skew intermediate:

Yet in our learning-paths study, the paths skewed heavily beginner (63%). The gap is the whole point of a learning path: good paths start beginners on the right ramp and sequence them up through an intermediate-heavy course pool they'd otherwise have no map for. The raw material is intermediate; the curation is what makes it beginner-friendly.

What this means if you're choosing an AI course

1. Don't pick by platform. Udemy's scale doesn't make it better or worse — the right course depends on the topic and instructor, not the logo.
2. Ignore the star rating for comparison. At a 4.5★ median, ratings can't separate good from great. Look at syllabus, recency, and instructor instead — or a head-to-head platform comparison.
3. Start free. With 39% free (and more freemium), you can validate a topic before paying.
4. Use a path, not a search. The course pool is intermediate-heavy and rating-flat — exactly the conditions where a curated AI learning path saves you the 40 hours of figuring out the order yourself.

Methodology

Figures were pulled from the live LearningAI365 catalog on June 1, 2026: 1,762 active courses. Provider and pricing-model counts are exact. A small number of entries (~67) carried topic labels instead of a provider name — a data-cleanup item on our end — and are excluded from the provider ranking; they don't change the headline picture. Ratings reflect the 1,168 courses that carry one. Browse the full set at learningai365.com/courses.