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
12,102 already enrolled
Gain insight into a topic and learn the fundamentals.
143 reviews
Beginner level
Recommended experience
Flexible schedule
2 weeks at 10 hours a week
Learn at your own pace
Skills you'll gain
- Supervised Learning
- Convolutional Neural Networks
- Predictive Modeling
- Image Analysis
- Climate Change Mitigation
- Computer Vision
- Applied Machine Learning
- Artificial Intelligence
- Fine-tuning
- Machine Learning Methods
- Environmental Monitoring
- Model Evaluation
- Forecasting
- Environmental Issue
- Climate Change Adaptation
- Model Training
- Artificial Neural Networks
- Data Processing
Details to know
Shareable certificate
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Assessments
4 assignments
Taught in English
98%
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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 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
