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

Instructor: Robert Monarch
12,227 already enrolled
144 reviews
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Skills you'll gain
- Category: Environmental Issue
- Category: Fine-tuning
- Category: Artificial Intelligence
- Category: Image Analysis
- Category: Predictive Modeling
- Category: Model Evaluation
- Category: Convolutional Neural Networks
- Category: Climate Change Adaptation
- Category: Environmental Monitoring
- Category: Climate Change Mitigation
- Category: Artificial Neural Networks
- Category: Machine Learning Methods
- Category: Computer Vision
- Category: Data Processing
- Category: Forecasting
- Category: Supervised Learning
- Category: Applied Machine Learning
- Category: Model Training
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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.
Reviewed on Oct 14, 2025
Very great intro and real project implementation of tackling climate change with AI/ML