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Team AI Upskilling

A four-week, hands-on program that gets a team shipping its first internal agent.

The split

LLM writes
Generates exercises, feedback and examples
System One decides
Places learners, grades short answers, flags who is falling behind
Code executes
Schedules, tracks progress, issues certificates

Engine

The AI Study Group curriculum (agentic AI engineering and ethical AI in Africa) adapted to the team; placement and grading run through the decision brain.

Rulebook

What correct means here, and the mistakes we've already caught. It grows one job at a time.

  1. R01Every participant ships something by week four, or the team gets a free extra week.
  2. R02Capstones use the company's real workflows, with its data policies applied.
  3. R03The responsible-AI session covers Nigeria's NDPA (or local law) and the company's own policy.
  4. R04Progress is measured in shipped artifacts, not attendance.

Intake

  • Team roles and tools
  • Two workflows to automate as capstones
  • Data and AI policies
  • Preferred schedule
UNIT
One cohort of up to 20 staff, four weeks
REVIEW LAYER
A facilitator reviews every capstone; managers get a weekly progress note.
DELIVERY
Live sessions, labs, a certificate per participant (optionally onchain), and the shipped capstone agents.
TURNAROUND
4 weeks

How we find buyers

  • HR and L&D leads at banks, telcos, agencies and NGOs
  • Tech hubs and chambers of commerce
  • Study Group alumni inside those companies

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