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short course
AI Video — Stage 3 (Automation Engineering)
A deployed AI Video Factory + cost model; you build the system others run
- Length
- 10 weeks
- Curriculum
- 10 weeks
- How it is taught
- online or physical or hybrid
What you'll learn
- Architect a video system rather than wire one together
- Build agents that research and script unsupervised, and know when to distrust them
- Route work across models on cost against quality, and show the arithmetic
- Call APIs directly and handle asynchronous renders with webhooks
- Compose video programmatically with FFmpeg and automate the quality check
- Model the cost and scale it, and say what selling it as a product would take
Week by week
Every week, what you can do by the end of it.
1Automation architecture
Scalable AI video systems; components & data flow; an architecture diagram
2AI agents & multi-agent workflows
Agentic automation (research→script→assets); orchestration; a 2-agent workflow
3Multi-model systems
Routing across image/video/voice models; output vs cost; a multi-model chain
4API integration
Connecting AI APIs — keys, auth, requests, responses; call a video/voice API
What you'll build
You leave with work you can show, not only a certificate.
- P3 (Stage 3) / Capstone: a full AI Video Factory
Tools you'll use
- Runway
- Pika
- Kling
- Luma
- Veo
- Sora
- HeyGen
- Synthesia
- Captions
- ElevenLabs
- PlayHT
- Midjourney
- nano-banana
- Ideogram
- Flux
- ChatGPT/Claude
- CapCut
- Descript
- Suno
- Make
- Zapier
- n8n
- Airtable
- APIs
Afterwards
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