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
11,938 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
98%
Most learners liked this course
Skills you'll gain
- Climate Change Adaptation
- Applied Machine Learning
- Model Evaluation
- Supervised Learning
- Model Optimization
- Artificial Intelligence
- Environmental Science
- Computer Vision
- Model Training
- Artificial Neural Networks
- Convolutional Neural Networks
- Predictive Modeling
- Machine Learning Methods
- Image Analysis
- Climate Change Mitigation
- Fine-tuning
- Environmental Monitoring
- Data Processing
- Environmental Issue
- Forecasting
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 143
LA
Reviewed on Oct 14, 2025
Very great intro and real project implementation of tackling climate change with AI/ML
AM
Reviewed on Sep 13, 2023
Great eye opener course to help you understand more about AI and how it affects our daily lives.
SP
Reviewed on Oct 6, 2023
I love this course I learn how to increase renewable energy efficiency and how to save animals and many technical skills thank you so much ✨
