A free masterclass series exploring how compute, data pipelines, and foundation models are reshaped by the physical realities of emerging economies.
Artificial Intelligence is often analyzed through the lens of Silicon Valley capital and hyperscaler data centers. But the real friction—and the highest-leverage opportunities—happen at the edges of global networks: in Lagos, Nairobi, Jakarta, and São Paulo.
This free course examines compute constraints, local dataset curation, offline-first inference architectures, and real-world deployment across fintech, SME logistics, and public institutions in frontier markets.
Enrollment is completely free. Leave your email to receive early lesson drops, video modules, and lecture notes as modules go live.
Designing low-latency model inference under intermittent power, bandwidth limits, and local infrastructure reality.
Overcoming training data scarcity across African languages, informal commerce receipts, and unstructured local records.
Practical tear-downs of production AI agents operating in payment reconciliation, credit scoring, and merchant supply chains.