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
12,123 already enrolled
Skills you'll gain
- Artificial Neural Networks
- Environmental Issue
- Fine-tuning
- Supervised Learning
- Climate Change Mitigation
- Computer Vision
- Artificial Intelligence
- Environmental Monitoring
- Model Evaluation
- Model Training
- Applied Machine Learning
- Forecasting
- Convolutional Neural Networks
- Machine Learning Methods
- Climate Change Adaptation
- Data Processing
- Image Analysis
- Predictive Modeling
Details to know
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Assessments
4 assignments
Taught in English
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This course is part of the AI for Good Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
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Showing 3 of 143
AM
Reviewed on Sep 13, 2023
Great eye opener course to help you understand more about AI and how it affects our daily lives.
AS
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.
LA
Reviewed on Oct 14, 2025
Very great intro and real project implementation of tackling climate change with AI/ML
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