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 AUB
12,420 already enrolled
Gain insight into a topic and learn the fundamentals.
145 reviews
Beginner level
Recommended experience
Flexible schedule
2 weeks at 10 hours a week
Learn at your own pace
99%
Most learners liked this course
Skills you'll gain
- Environmental Issue
- Climate Change Adaptation
- Supervised Learning
- Forecasting
- Fine-tuning
- Predictive Modeling
- Model Training
- Convolutional Neural Networks
- Environmental Monitoring
- Model Evaluation
- Image Analysis
- Artificial Neural Networks
- Climate Change Mitigation
- Computer Vision
- Artificial Intelligence
- Data Processing
- Machine Learning Methods
- Applied Machine Learning
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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Showing 3 of 145
AM
4.0
Reviewed on Sep 13, 2023
Great eye opener course to help you understand more about AI and how it affects our daily lives.
AS
5.0
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
5.0
Reviewed on Oct 14, 2025
Very great intro and real project implementation of tackling climate change with AI/ML
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