• eLearning - Online Resources

Available courses

Operational Forecast Desk Training
On-the-job Training

A practical course on daily forecast operations, including data monitoring, model interpretation, forecast briefings and warning preparation.

On the Job Training 2026
On-the-job Training

A 2026 on-the-job training programme supporting African institutions to strengthen practical skills in forecasting, climate services, data analysis and early warning operations through hands-on, workplace-oriented learning.

Nowcasting and Short-range Forecasting
Forecasting

A course on short-range forecasting methods, radar and satellite interpretation, convective systems, heavy rainfall and early warning applications.

Introduction to Operational Weather Forecasting
Forecasting

A hands-on course introducing operational weather forecasting, including weather analysis, model guidance, forecast verification and the use of forecasts to support preparedness and decision-making.

Climate Data Analysis with Python
Climate

A hands-on course on analysing rainfall, temperature, drought and climate variability using Python, gridded datasets and station observations.

Seasonal Forecasting and Climate Outlooks
Climate

A course on seasonal prediction, forecast interpretation, regional climate outlooks and communication of uncertainty to climate-sensitive sectors.

Introduction to Climate Monitoring and Climate Services
Climate

An introductory course on climate monitoring and climate services, covering climate data sources, seasonal information, climate indicators and practical applications for decision-making and resilience planning.

Introduction to Artificial Intelligence
Digital Tools

A foundational course introducing artificial intelligence and machine learning concepts, with practical examples of how AI can support weather forecasting, climate services and data-driven decision-making.

Impact-Based Forecasting and Warning Services
SEWA Trainings

A course on linking hazard forecasts with exposure, vulnerability and potential impacts to support more actionable early warnings.