Impact of AI on Climate Risk Assessment and Sustainable Decision-Making

This course equips professionals with the foundational knowledge and analytical frameworks to evaluate the role of AI in climate risk and sustainability. Participants will explore real-world applications across environmental monitoring, predictive modelling, and sustainable infrastructure planning.

This five-module course introduces the environmental implications of artificial intelligence and provides sector-specific insights into its use for sustainable outcomes:

Module 1: What is AI in Environmental Contexts?

• Understand the core terminology, systems, and use cases of AI in relation to environmental applications.

Module 2: Data-Driven Climate Risk Assessment

• Learn how AI uses satellite and sensor data to model risks related to wildfires, floods, and droughts.

Module 3: AI for Environmental Monitoring and Assessment

• Explore the role of AI in interpreting air, water, and land quality data for regulatory and sustainability purposes.

Module 4: Predictive Modelling and Sustainable Infrastructure Planning

• Analyze how AI supports scenario planning, climate adaptation, and greener decision-making.

Module 5: Ethical, Social, and Governance Implications

• Examine the risks, challenges, and governance considerations for using AI responsibly in environmental contexts.

Each module includes a quiz to reinforce your understanding and help you track your progress throughout the course.