AI Certification Statistics & Data

Yes. The dataset is published under a Creative Commons Attribution 4.0 licence, so you are free to reuse it — including commercially and in derivative work — as long as you attribute BestAICertifications.com and link back to this page. That covers the tables here and the machine-readable version, available as a JSON file if you would rather parse it than copy it.

Two things are worth knowing before you cite it. The ratings are our own six-factor editorial scores — not an average of student reviews and not a survey of employers — so describe them as such. And the level, time and coding fields reflect each provider's published curriculum at the time we reviewed it. Providers change their programmes, so quote the review date alongside the figure rather than presenting it as current to the day you read it.

We re-review it whenever a tracked programme changes materially — a renamed certificate, a restructured course series, a change in level or prerequisites — and refresh the page's date when we do. It was last reviewed in October 2026. There is no fixed monthly cadence, because a scheduled refresh would mostly restate unchanged figures while still missing anything that moved in between.

What makes that workable is that the underlying facts are checked automatically. A weekly job compares what we assert about each tracked certification whose provider page a script can read against that page and flags anything that has changed, so a renamed course or a redirected enrolment link surfaces within days rather than whenever someone next happens to look. It reports; a human makes the edit, because a script rewriting prices unattended is a worse failure than the drift it catches.

From our own editorial catalogue — the same dataset behind our rankings and the AI Certification Picker. We actively track and score 129 AI certifications, courses and tracks across 13 providers: 365 Data Science, DataCamp, DeepLearning.AI, DeepLearning.AI & AWS, DeepLearning.AI & Stanford, Duke, Google, Google Cloud, IBM, Microsoft, Stanford, Udemy and Vanderbilt.

The two kinds of figure on this page have different provenance, and it matters which you are quoting. The ratings are ours: every certification is scored on the same six factors — curriculum currency, completion realism, skill value, employer recognition, cost and value, and salary impact, weighted equally — as set out in our methodology. Typical time and coding requirement are the providers': each is read off the programme's published curriculum at review time rather than estimated by us. Level is ours, set from the courses a programme requires, and on some programmes it deliberately differs from the provider's own label. Nothing here comes from a survey, and no provider pays to appear or to be scored more favourably.