In this course, you’ll start with a review of the mechanisms behind anthropogenic climate change and its impact on global temperatures and weather patterns. You will work through two case studies, one using time series analysis for wind power forecasting and another using computer vision for biodiversity monitoring. Both case studies are examples of where AI techniques can be part of the solution when it comes to the mitigation of and adaptation to climate change.
AI and Climate Change

AI and Climate Change
This course is part of AI for Good Specialization

Instructor: Robert Monarch
Access provided by Universidade Federal de Lavras UFLA
12,443 already enrolled
145 reviews
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Skills you'll gain
- Fine-tuning
- Artificial Intelligence
- Climate Change Mitigation
- Computer Vision
- Data Processing
- Forecasting
- Machine Learning Methods
- Environmental Issue
- Convolutional Neural Networks
- Climate Change Adaptation
- Artificial Neural Networks
- Model Training
- Supervised Learning
- Environmental Monitoring
- Model Evaluation
- Predictive Modeling
- Image Analysis
- Applied Machine Learning
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Reviewed on Jan 25, 2025
This is a great course - we don't need AGI - just look at how much impact ToolAI (or ANI) has been delivering for humanity! Let's just focus on what AI can do (for good), and less about profiteering.
Reviewed on Sep 13, 2023
Great eye opener course to help you understand more about AI and how it affects our daily lives.
Reviewed on Jun 14, 2024
This course is designed very well that any person who wants pursue knowledge about How AI and Machine Learning work.
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