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Good practice Imported

3MTT DeepTech_Ready — Nigeria's National Data Science & AI Upskilling Track

Nigeria · Abuja · See the Nigeria profile · See the Abuja profile

Evidence: Observational / pre–post Top 56% 47/100 · Ask Evidence Copilot about this practice

Nigeria's NITDA, Data Science Nigeria and Google.org run DeepTech_Ready, a free six-month Data Science and AI upskilling track for 20,000 fellows; the wider 3MTT programme reports 99.6% assessment completion and 67% job/career-advancement for its first cohort.

99.6 %
Assessment completion rate across 3MTT
60,000+
Validated assessments completed
67 %
First cohort securing employment/career advancement within 6 months (first 30,000-strong cohort)
20,000
DeepTech_Ready fellow target
3MTT DeepTech_Ready — Nigeria's National Data Science & AI Upskilling Track

Details

Maturity
Scaling
Promoter
National Information Technology Development Agency (NITDA) / Federal Ministry of Communications, Innovation and Digital Economy, with Data Science Nigeria and Google.org
Period
2023–2026 (ongoing)
Keywords
AI, data science, upskilling, youth employment, public-private partnership

Context

Nigeria's 3 Million Technical Talent (3MTT) programme, run by the National Information Technology Development Agency (NITDA) under the Federal Ministry of Communications, Innovation and Digital Economy, includes DeepTech_Ready -- a specialised Data Science, AI, Machine Learning, NLP, Computer Vision and Geospatial Data Science upskilling track delivered with implementation partner Data Science Nigeria and support from Google.org.

Objectives

DeepTech_Ready targets 20,000 young Nigerians across successive six-month cohorts, combining self-paced learning, project-based immersion and job-readiness support, with AI-assisted job placement via Loubby AI and WES Online.

Results

Across the wider 3MTT programme, of which DeepTech_Ready is one specialised track, NITDA reports a 99.6% completion rate across more than 60,000 psychometrically validated assessments, and 67% of the first 30,000-strong cohort secured employment or career advancement within six months of completing training.

Conclusions

These completion and employment figures are government-reported and describe the overall 3MTT cohort rather than a DeepTech_Ready-specific outcome, so the evidence should be read as a proxy for the wider programme's administrative reach rather than a direct measure of the AI/data-science track's impact.

Implementation
Indicative cost
Medium (€50k–€500k) — No specific budget figure is published; delivery is co-funded by the Nigerian federal government (via NITDA) and Google.org, with implementation costs borne by Data Science Nigeria.
Time to results
Medium (1–3 years) — 3MTT and DeepTech_Ready have run in successive six-month cohorts since 2023, an ongoing multi-year national programme rather than a single time-limited course.
Staffing & skills
National Information Technology Development Agency (NITDA), Data Science Nigeria (implementation partner), Google.org (funding support)

Conditions for success

  • Government agency (NITDA) coordination under the Federal Ministry of Communications, Innovation and Digital Economy
  • A specialised implementation partner (Data Science Nigeria) able to deliver AI/data-science curriculum at scale
  • Corporate philanthropic co-funding (Google.org) alongside public investment
  • AI-assisted job-placement tools (Loubby AI, WES Online) to convert training into employment

Common failure modes

  • Completion and employment statistics are reported for the wider 3MTT programme, not broken out for the DeepTech_Ready track specifically
  • Programme has not yet reached its full 20,000-fellow target

Commonly funded by

National / regional programmes Philanthropic / foundation funding

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.

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