- Level: Beginner
- Prerequisites: None
- Assessments: Weekly Micro Assessments; Full Assessment in the Final Week
Week 1: Introduction to AI for Climate Change
Learning Outcome: Understand how AI can help in monitoring climate changes.1.1 Basics of environmental monitoring.
1.2 Sources of climate data (satellites, sensors).
1.3 Role of AI in analyzing climate data.
Practical Component
Analyze simple weather datasets to detect trends.
Week 2: Computer Vision for Satellite Data Analysis
Learning Outcome: Learn to use AI for visual climate data.1.4 Introduction to satellite imagery.
1.5 Using computer vision for deforestation detection.
1.6 Tracking water bodies and glaciers with AI.
Practical Component
Process satellite images to detect environmental changes.
Week 3: Anomaly Detection in Climate Data
Learning Outcome: Use AI to detect unusual patterns in climate trends.1.7 Basics of anomaly detection.
1.8 Identifying heatwaves and extreme weather patterns.
1.9 Predicting climate anomalies using historical data.
Practical Component
Build an anomaly detection model for climate data.
Week 4: Predictive Models for Climate Solutions
Learning Outcome: Build models to predict future climate trends.1.10 Basics of time-series forecasting.
1.11 Predicting air quality and emissions levels.
1.12 Identifying high-risk climate zones.
Practical Component
Predict future climate conditions using AI models.
Week 5: Real-World Applications and Challenges
Learning Outcome: Understand the limitations and applications of AI in climate action.1.13 Challenges in scaling AI solutions for climate.
1.14 Ethical considerations in using climate data.
1.15 Case studies of successful AI climate solutions.
Practical Component
Solve a real-world climate monitoring problem using AI.
Week 6: Final Project
Learning Outcome: Build and present a climate monitoring system.1.16 Select a use case (deforestation, air quality).
1.17 Build and test the system.
1.18 Present your solution and results.
Practical Component
Demonstrate your AI-powered climate solution.