Track 01
Build, deploy and evaluate AI systems
You will leave able to build RAG pipelines, wire agents, write evals, and deploy to production. This is the skill set that commands ₦150,000–₦300,000/month at a Nigerian startup on day one.
Duration
12 weeks
Format
In-person · cohort-based
Level
Intermediate → Advanced

What you build
A working knowledge base chatbot. An autonomous research agent. A multi-agent customer support pipeline. A production API with observability and cost tracking. A WhatsApp AI assistant. Your own capstone product, demoed live to startup operators.
You'll graduate able to
Call and stream any major LLM API
Build and evaluate RAG systems
Build and deploy AI agents with tool use
Write evals to measure and improve AI quality
Serve AI systems via FastAPI
Integrate into WhatsApp and Telegram
Monitor cost, latency, and safety in production
Curriculum
01–02
Foundations
LLM mental models, embeddings, tokenization, evaluation primitives.
03–04
Retrieval & tools
Vector stores, hybrid search, function calling, agent loops.
05–07
Production patterns
Streaming, caching, rate limits, prompt versioning, evals.
08–10
Deployment & ops
Inference servers, GPU/CPU trade-offs, monitoring, cost control.
11–12
Capstone
Ship a real AI product reviewed by working engineers.
Cohort 04 — Now open