Capability Hub

Build lasting health data capacity across Africa — technical and community tracks

12,400+

Health workers trained

9

Countries with active programs

91%

Rwanda digitalization (model country)

4.2h

Average outbreak response time

Learning Modules

Health Data Fundamentals

Beginner3h

Understanding DHIS2, HL7 FHIR, and African health data standards. Data quality and interoperability.

DHIS2 data entry
HL7 FHIR basics
OpenMRS integration
Data quality checks

AI for Health Workers

Intermediate5h

Using Africare Intelligence AI to interpret disease trends, forecast needs, and generate reports.

Prompt engineering
Interpreting AI forecasts
Outbreak detection
Resource planning with AI

LangChain Health Agents

Advanced8h

Build AI agents that query health databases using LangChain. Python, tool use, and retrieval-augmented generation.

LangChain basics
Tool-using agents
RAG with health data
Production deployment

MLflow for Health AI

Advanced6h

Track experiments, version models, and build reproducible ML pipelines for health prediction models.

Experiment tracking
Model registry
Pipeline orchestration
Model serving

MLOps & Deployment

Advanced10h

Docker, Kubernetes, and CI/CD for health AI systems. The full production engineering stack.

Docker containers
Kubernetes orchestration
CI/CD pipelines
Monitoring & observability

Community Health Leadership

Beginner4h

Train local health workers to own digital systems. Based on Rwanda's successful CHW model.

Digital health literacy
System ownership
Community reporting
Rwanda CHW case study

The Rwanda Model

Rwanda achieved 91% vaccination coverage and 92% facility digitalization through community health workers, mandatory health insurance, and committed government investment in digital infrastructure since 2012. Africare's Capability Hub is built to replicate this model across the continent.

See Rwanda in the dashboard