AI / ML
Our work builds African engineers who can design, evaluate, and ship production-grade AI and machine-learning systems.
From retrieval-augmented generation and autonomous agents to reproducible MLOps, we teach AI/ML the way it's practiced — hands-on, measured, and deployed. Giants leave able to build, not just describe.
AI/ML at nGOT Since 2024
Countries in our community
Developers, undergraduates & graduates
Deep-tech R&D tracks in 2026
Projects shipped in a single sprint
People to impact within five years
Investment in every Giant
Six Ways We Work in AI/ML
Intensive development sprints — like our 10-Day AI/ML & Agentic Systems Sprint — where Giants ship 20+ real projects.
Production-grade MLOps: reproducible experiments, containerised services, and evaluation on real metrics.
Retrieval-Augmented Generation systems, from document ingestion and embeddings to FastAPI and vector search.
Agentic systems that plan, call tools, and chain steps — with guardrails.
Weekly Giants Sessions where members research and present frontier AI topics before building them.
A 'we train, you recruit' pipeline connecting AI/ML talent to real industry opportunities.
From the community
From Undergrad to ML Engineer in a 10-Day Sprint
Panford Yeboah came into the sprint able to write code and left able to ship systems — building a containerised ETA predictor and a Medical-Literature RAG system.
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