Equipping African researchers, practitioners, and policymakers with AI and ML skills to address climate change challenges across Africa and beyond.
3
Levels
70%
Pass Mark
3
Certificates
Programme Structure
Climate science, policy frameworks, mathematical foundations, and an introduction to AI and Machine Learning.
Topic quizzes after each major topic
End-of-module assessments
Minimum pass mark: 70%
Certificate in Foundations of AI for Climate Resilience
Advanced ML for climate modeling, uncertainty and risk analysis, and spatial vulnerability mapping.
Advanced modeling quizzes
Practical assignments
Mini modeling project
Minimum pass mark: 70%
Advanced Certificate in AI for Climate Analytics
Real-world case studies, AI-driven solution design, ethical integration, policy translation, and a final Capstone Project where you design an AI-based climate resilience solution.
Advanced assessments & solution reviews
Final presentation & peer review
Fellowship Certificate
Format
Self-paced Modules
Learn at your own pace on the ARIN platform
Live Zoom Masterclasses
Interactive sessions with thematic experts
Webinars
Curated expert-led knowledge sessions
Case-based Assignments
Real-world problem-solving tasks
Capstone Project
AI innovation aligned with African priorities
Skills
Interpret climate datasets and model climate variability trends
Build and evaluate basic ML models for environmental data
Apply AI in vulnerability mapping and risk forecasting
Quantify uncertainty in climate projections
Critically assess ethical implications of AI in climate governance
Develop policy briefs informed by AI-generated evidence
Present a climate-resilient AI innovation aligned with African priorities
Curriculum
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