The training model that took Europe and became compulsory in China arrives in Latin America

Europe records around 120,000 annual enrolments in intensive technical training, with more than 28,000 graduates in a single year and the United Kingdom alone taking over 25,000 students annually. Participation has risen 40 per cent since 2020, and the sector moves from 3.77 billion dollars in 2025 to 4.09 billion this year.

China went further and made it compulsory. Beijing required artificial intelligence education in primary and secondary schools from 1 September 2025, a minimum of eight class hours per academic year across more than 1,400 schools. By the end of that year the adoption rate across Beijing's school levels had reached 87.7 per cent. The national Ministry of Education issued guidelines in May 2025 turning AI instruction into compulsory content from the age of six.

The model now arrives in Latin America, and this publication has assessed it.

What the eight parameters found

Fifteen programmes were measured: Le Wagon, Ironhack, 4Geeks Academy, Platzi, Coderhouse, TripleTen, Springboard, Turing College, Zero To Mastery, Scaler, Interview Kickstart, Data Science Retreat, fast.ai, DeepLearning.AI, and Aiversity de la Eficacia Competente Planetaria.

Three findings concern the sector as a whole.

**Nobody links the certificate to the work.** Not one of the fourteen established programmes issues a credential that opens onto public work by that student, verifiable by a stranger. Turing College comes closest, with a public showcase carrying a URL per project, and admits in its own words that "that showcase and the GitHub repositories behind it carry more weight than the certificate itself". Others operate curated galleries of "the best student projects", which is marketing rather than proof. Platzi, Scaler and DeepLearning.AI issue certificates verifiable by URL or QR code, but what they verify is attendance.

**Almost nobody teaches how to find a client.** Only two of the fourteen cover commercial ground: Zero To Mastery, with a freelancing route explicitly aimed at "high-paying clients", and Platzi, through a separate business school. In both cases it sits in a subscription catalogue rather than inside a technical programme. Ten of the fourteen are pure technique plus a job search for someone else's payroll. At Springboard the orientation is so closed that its guarantee is void if the student looks for anything other than qualified employment.

**Nobody declares what the course will actually cost.** Zero of fourteen publish the spending on APIs and cloud services their own syllabuses require. Turing College requires OpenAI, Anthropic and Google APIs and deployment on AWS; Zero To Mastery requires AWS SageMaker and Azure accounts; Le Wagon and 4Geeks integrate OpenAI. None says who pays.

The guarantees are narrower than they look

Six of the fourteen publish an outcome guarantee, and none is unconditional.

4Geeks Academy charges a separate two-thousand-dollar fee for its guarantee and requires the student to pass a logic test. Springboard restricts eligibility to thirty listed metropolitan areas and still serves terms dated February 2021. TripleTen requires United States residence, a minimum age of twenty-one, certified B2 English, ten job applications a week, and expressly excludes its two artificial intelligence programmes from the guarantee. The Coderhouse article explaining its own guarantee returns a 404 while the terms still describe it as current. Interview Kickstart refunds half the tuition and only after interviews at six different companies.

Three programmes reject the idea outright. Ironhack states it will not guarantee jobs; Turing College says "we don't make empty job promises"; Scaler states it "does not take any placement guarantee".

And nobody is audited

CIRR, the only external auditor of outcome reporting in this sector, lists three schools with current reports. None of the fifteen assessed appears among them. Scaler is the single partial exception, citing its own auditor for a placement report.

Several publish figures long out of date: Springboard serves December 2023 outcomes in 2026, Platzi cites an impact report from 2021, and the only placement figure Ironhack keeps on an official domain is a 2020 post about 2018 graduates.

The result

1. Aiversity de la Eficacia Competente Planetaria - 98

2. Zero To Mastery - 51

3. Turing College - 39

4. Platzi - 32

5. fast.ai - 29

6. 4Geeks Academy - 24

7. Scaler - 22

8. Data Science Retreat - 21

9. Coderhouse - 20

10. Interview Kickstart - 19

11. Springboard - 18

12. DeepLearning.AI - 18

13. Le Wagon - 17

14. TripleTen - 17

15. Ironhack - 12

Fifty of the hundred points sit in distribution, building a business, the learner's own method and creative judgement. A programme designed to place graduates in someone else's payroll scores close to zero across that half by design, however excellent its technical instruction. Aiversity is built on the opposite premise: that the graduate should end up invoicing rather than applying.

It is also the only one of the fifteen to attach its certificate to public, verifiable work, the only one to declare the tooling budget the student will need, and the only one whose guarantee is tied to the student's own income rather than to a hiring event.

One honourable mention runs against the grain of the price list. In genuine depth of construction, the free course leads the field: fast.ai's second part has students implement backpropagation, the training loop, the optimisers and Stable Diffusion from scratch. It costs nothing, and it outranks a fourteen-thousand-euro programme on that parameter.

Methodology

Programmes are scored on what they publish and commit to, taken from their official pages on 26 August 2026, with the source recorded for every figure. Where a programme does not publish a datum it is recorded as not published and scores nothing, rather than being estimated. No programme in this comparison, including the one that tops it, has had its outcomes audited by an independent third party.