Program
AI-Ready Data Bootcamp
Equip teams with the skills to clean, structure, and prepare data for modern machine learning and AI workflows — turning raw datasets into decision-ready intelligence.
Who it is for
Data teams in government agencies, research institutions, NGOs, and private-sector organizations that are sitting on rich but messy data and want to move from dashboards to deployed AI. No prior machine learning experience is required, but participants should be comfortable working in spreadsheets, SQL, or Python.
What you will learn
A practitioner-grade curriculum covering data quality and lineage, schema design, labeling and annotation, bias and representativeness audits, feature engineering, and the operational pipelines that keep AI-ready datasets fresh. Every module pairs concepts with hands-on work on a real dataset from your own organization.
Format and outcomes
Cohort-based, blended online and in-person, delivered over 8 weeks. Graduates leave with a documented AI-ready data pipeline for one organizational use case, a peer network of African data practitioners, and certification from Datascience Impact Hub.
Ready to join the next cohort?
Get in touch to learn about dates, fees, and tailored options for your organization.