career programme
All three stages + a capstone; from first video to the system that makes them
Every week, what you can do by the end of it.
How AI video works; the money paths — faceless YouTube, TikTok, UGC, SME
Niches, pillars, hooks; formats that scale; a content strategy + 30-post plan
Scalable AI video systems; components & data flow; an architecture diagram
You leave with work you can show, not only a certificate.
From income-ready creator (Stage 1) to automation engineer / agency owner / SaaS founder (Stage 3) — a strong freelance/remote and entrepreneurial pathway for the African market
Midjourney / nano-banana / Ideogram
Notion/Airtable content DBs; AI trend research; build an idea bank
Agentic automation (research→script→assets); orchestration; a 2-agent workflow
Runway / Pika / Kling
UGC-style ads, avatar spokespeople, product videos; 3 UGC variations
Routing across image/video/voice models; output vs cost; a multi-model chain
ChatGPT/Claude scripts
One asset → many; Pidgin/Yoruba/Hausa localisation; reusable templates
Connecting AI APIs — keys, auth, requests, responses; call a video/voice API
CapCut/Descript; trim, transitions
Make/Zapier/n8n basics; triggers & actions; automate one step
Glue-code fundamentals; Copilot/Cursor; a small automation script
Copilot/Cursor
Export; platform optimisation (YouTube/TikTok/IG/WhatsApp); thumbnails
Sheets/Airtable as the engine; APIs & webhooks; batch-generate 5 videos
Event-driven pipelines; queues, reliability; a webhook-triggered render
An end-to-end pipeline with human approval/QA and scheduling
Automated editing/composition; dynamic personalisation; a programmatic edit
Run the full pipeline; produce 5 videos via the system
Automated ad variations & QC; video analytics; an automated ad set
Cost optimisation & scaling; SaaS/agency patterns; a cost + scale plan
Full system, input → research → script → assets → voice → QA → approval; Demo Day