AI Certification Reviews

See All 12 Ranked Certifications →

Every score on this page comes from the same five factors — curriculum currency, completion realism, skill value, employer recognition and cost & value — weighted equally, each judged against what the course is for, so you can compare like for like. A star is our own editorial score out of five, and it appears only on the reviews whose subject carries one in our catalogue — where we hold no score, the card shows the provider and no number. Prices and course details are checked against the provider’s own page.

What is reviewed here, and what is not

71 reviews. The site ranks twelve programmes and covers many more in guides, and a review exists where the decision is hard enough to need one — where a well-known name might not be worth its reputation, where two similar-looking programmes teach different jobs, or where something is being sold in a way that obscures what you actually get.

They sort into four kinds. Most of our ranking is applied AI engineering — building on models rather than training them — and the reviews for it include IBM RAG and Agentic AI and the AI Engineer Core Track; Associate AI Engineer for Developers, a track outside our ranked twelve, also untangles the fact that finishing it does not award the certification of the same name. Then foundations, where Andrew Ng's Machine Learning Specialization, the Deep Learning Specialization and IBM AI Engineering answer different questions that people routinely confuse: one explains how models work, the others get you shipping them. Then the entry points, including the Google AI Professional Certificate, the highest-scored no-code programme we rate, and Google AI Essentials — its shorter sibling and a common first recommendation, which we score 3.9 and leave outside our ranked twelve — and free options such as Elements of AI. Last are the exams and platforms, written as preparation rather than as a verdict on a course: AWS AI Practitioner, Azure AI Fundamentals (AI-900, now replaced by AI-901) and the DataCamp platform review.

Not every review carries a score. We rate a programme only where our catalogue holds an editorial rating for it, so a review can be thorough and still show no star. That is deliberate: inventing a number to fill the gap would make the other scores worth less.

A marketplace review carries a different warranty. A Udemy listing can change instructor, length and content without changing its URL — one course in our catalogue now reads 18 hours across 173 lectures where we had recorded 22 across 213, at the same address — so a verdict on one is worth less than its date suggests. We review them anyway, because readers buy them, but every figure carries the day it was read and is re-checked in a browser rather than trusted. Read one alongside how to read that marketplace, which covers the courses we checked and the two we would not send anyone to. The same caution applies to anything whose syllabus we cannot verify against the provider's own data.

How these reviews are made — and what they are not

They are built from the providers’ own syllabuses, pricing pages, published curricula and documentation, read closely and held against each other. Where a provider publishes structured data about a course we record what it said and the date we read it, and an automated weekly check tells us when any of it moves — a rename, a redirected URL, a rating that has shifted, a course that has quietly become a different length.

What we do not claim. We have not personally completed these programmes, and no review here says otherwise. Anyone telling you they have sat through fifteen multi-month certificates is telling you something improbable. What can be done honestly is to read every syllabus properly, hold them all to the same criteria, notice when a provider contradicts itself, and say plainly when a well-known credential is worse value than a less famous one. Where first-hand experience would genuinely change the verdict, the review says so rather than papering over it.

Who writes them. One person — Rohail Nisar, named on every page, and the only author this site has. There is no anonymous review team. The methodology sets out the scoring in full, including what is deliberately not measured and why.

How they are funded. Some links earn a commission if you enrol. Since 8 October 2026 commission raises no score and no place in a ranking: the five factors are weighted equally, every course’s published score is the mean of its two scoring readings, whoever sells it, and every entry shows its five factor scores so you can check the order against the criteria — how this site is funded.