NgaziTech's AI training is grounded in institutional practice — including our founder's contribution to Section 3.6 of Kenya's National AI Policy — and delivered to the same standard as our public sector work with government auditors, county ICT directors and institutional leadership.
Two tracks, two audiences: practitioners who need AI to be useful on Monday morning, and decision-makers accountable for how their organisation adopts it.
Hands-on courses for individual practitioners who want AI to make their own work faster, sharper and defensible.
Use today's AI assistants to draft, summarise, analyse and research faster — with the prompt craft and workflow habits that make the output reliable rather than impressive.
For: analysts, officers, managers and anyone doing daily knowledge work
Understand what AI agents can and cannot automate, and build simple automations that connect your documents, spreadsheets and systems end to end.
For: operations, admin and support teams automating repetitive work
Learn to interrogate AI output — checking sources, spotting fabrication and verifying figures — so AI-assisted work survives review and audit.
For: auditors, researchers, M&E officers and report writers
For institutions and decision-makers responsible for how AI is adopted, procured and controlled — not how it is typed into a chat box.
Build the internal policy, oversight and risk controls your organisation needs before AI is embedded into live decisions and services.
For: executives, ICT directors, risk and compliance leads
Evaluate AI vendors and proposals with confidence — what to ask, what to require in contracts and how to tell capability from marketing.
For: procurement officers, ICT directors and tender committees
Apply Kenya's Data Protection Act to real workflows — lawful basis, data subject rights, impact assessments and safe handling of personal data in AI systems.
For: data protection officers, legal, HR and institutional leadership
Any course on this page can be delivered as a custom in-house engagement, scoped around your own systems, data and policy environment.