Initiative overview

Urdu AI is WALI's language-access initiative for making artificial intelligence understandable in simple Urdu.

It exists because the future of technology should not be gated by English. Through courses, workshops, and a facilitator network, Urdu AI makes AI learning usable for first-time learners, students, educators, women, and professionals across Pakistan.

Participants attending a national Urdu AI training session supported by WALI

Why WALI built it

Urdu AI translates technical language into participation, confidence, and public reach.

The initiative began from the same rural logic that shapes the rest of WALI: if people cannot access a technology in the language they actually use, the promise of that technology remains distant. Urdu AI responds to that gap by teaching AI in practical Urdu instead of imported jargon.

  • Early training demonstrated strong participation and continued learner engagement
  • The public impact site shows an active Dost facilitator network across Pakistan
  • Phase two is backed by AVPN's AI Opportunity Fund with a USD 250,000 grant

How the initiative works

Urdu AI combines accessible content, local facilitators, and documented reach.

This is what turns the initiative from a set of workshops into a recognized national movement.

Simple Urdu instruction

AI concepts are translated into clear, practical language so learners do not need advanced English to participate.

Dost network

Local facilitators carry workshops into districts and cities, making the model relational and scalable at the same time.

Verified reach

The map, team, and booking flows on the Urdu AI impact site help donors, partners, and media verify operating reach.

Funded expansion

Phase two is designed to expand the facilitator network while keeping women and underserved learners central to delivery.

Explore next

Follow the initiative through the education page, the Dost story, and the national case study.

Use the AI education in Urdu page for the overview, the Dost article for facilitator detail, and the case study for ecosystem context.