Data: From Business Records To Model Inputs
See how business records become information an AI system can use, and why data quality matters.
Explore Outline →AI For Climate, Weather And Environmental Resilience
Understand AI forecasts and environmental monitoring, and how uncertainty affects decisions across places and communities.
AI Foundations is useful starting knowledge. Specialist terms will be explained through examples; coding is not required for the introductory course.
Planned Topics
- Weather, Climate And Decision Timescales
- Environmental Data And Coverage
- Prediction And Forecast Uncertainty
- Extreme Events And Early Warning
- Local Decisions And Unequal Impacts
- Assess A Resilience Application
Planned Practice And Learning Check
Practice: Develop an evidence-based case analysis: identify the problem, AI approach, supporting evidence, limitations, implementation needs and a justified next decision.
Learning Check: Explain which conclusions the evidence supports, what remains uncertain and what further validation or review is needed.
Teaching materials and assessments will be reviewed before lessons become available.
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Decisions, Forecasting, Optimization, And Causality
Use AI predictions to compare choices, plan ahead and ask what caused a result.
Explore Outline →Global And Frontier-Market AI Deployment
Explore what changes when AI services are built and used in different countries.
Explore Outline →