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Good practice Imported

Centro Público de Formación en Inteligencia Artificial — Mexico's Free National AI Training Network

Mexico · Mexico City · See the Mexico profile · See the Mexico City profile

Evidence: Descriptive / self-reported Top 42% 53/100 · Ask Evidence Copilot about this practice

Mexico's federal government opened a free, dual-certified national AI training centre in Nov 2025 via the SaberesMx platform; the first cohort enrolled 10,000 students in Jan 2026, and a second generation opened 30,000 free places in May–Jul 2026.

10000 students
First-generation enrolment (January 2026)
30000 places
Second-generation free places (May–July 2026)
25000 graduates/year
Government annual graduate target
Centro Público de Formación en Inteligencia Artificial — Mexico's Free National AI Training Network

Details

Maturity
Scaling
Promoter
Tecnológico Nacional de México (TecNM), Infotec & Instituto Politécnico Nacional (IPN), Gobierno de México
Period
2025–present
Keywords
public education, higher education, vocational training, AI skills

Context

In November 2025, the Mexican federal government, under President Claudia Sheinbaum, launched the Centro Público de Formación en Inteligencia Artificial (CPFIA), a free national AI-training network run jointly by the Tecnológico Nacional de México (TecNM), Infotec and the Instituto Politécnico Nacional (IPN). The flagship in-person campus opened at TecNM's Tláhuac site in Mexico City, with planned expansion to campuses in Mérida, Tijuana, Morelos, Veracruz, Puebla, Morelia, Oaxaca, Tamaulipas and Nayarit, alongside a free remote option via the SaberesMx online platform.

Objectives

The programme aims to provide free, dual-certified AI training at national scale, combining certification from the public institutions (IPN, Infotec, TecNM) with certification from partner technology companies including Microsoft, AWS, Meta, IBM and Google. The government's stated target is around 25,000 graduates per year.

Activities

The first generation opened in January 2026 with 10,000 enrolled students. Following strong reported demand, a second generation opened 30,000 free places in May 2026, with registration closing 5 July 2026 and training running August–December 2026.

Results

As of the practice's documentation in August 2026, enrolment and place figures are the only measured outcomes reported: 10,000 students in the first cohort and 30,000 free places offered in the second generation, which official and independent Mexican outlets describe as the largest public AI training programme on the continent. No completion rates, skills-assessment results or employment outcomes have yet been published.

Conclusions

Because the programme is less than a year old, its evidence base currently covers enrolment scale and institutional backing rather than measured learning impact; completion, skills-assessment and employment outcomes remain to be demonstrated.

Implementation

Indicative cost
High (€500k–€5M) — National multi-campus programme run jointly by three public higher-education institutions with corporate certification partners; specific budget figures are not stated in the source.
Time to results
Medium (1–3 years) — Launched November 2025; first cohort January 2026; second generation May–July 2026 (training through December 2026); ongoing expansion.
Staffing & skills
Tecnológico Nacional de México (TecNM), Infotec, Instituto Politécnico Nacional (IPN), Partner technology companies (Microsoft, AWS, Meta, IBM, Google) providing co-certification

Conditions for success

  • Free tuition removes cost barrier to enrolment
  • Dual public/private certification adds recognised credential value
  • Combination of in-person campuses across multiple states and a free remote platform (SaberesMx) broadens geographic access

Common failure modes

  • No completion, skills-assessment or employment outcome data published yet, so effectiveness beyond enrolment is unverified

Where it fits

Governance type
national government
Scale
national

Commonly funded by

National / regional programmes

Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.

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Data sources

Where this practice's information was retrieved from, and when.

Attachments

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