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 Project Access International
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Gain insight into a topic and learn the fundamentals.
142 reviews
Beginner level
Recommended experience
Flexible schedule
2 weeks at 10 hours a week
Learn at your own pace
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Skills you'll gain
- Model Optimization
- Artificial Neural Networks
- Image Analysis
- Climate Change Adaptation
- Supervised Learning
- Climate Change Mitigation
- Machine Learning Methods
- Convolutional Neural Networks
- Fine-tuning
- Artificial Intelligence
- Predictive Modeling
- Forecasting
- Computer Vision
- Environmental Science
- Model Training
- Model Evaluation
- Data Processing
- Environmental Monitoring
- Applied Machine Learning
- Environmental Issue
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 142
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.
AR
Reviewed on Jul 15, 2023
very informative. thank you so much DeepLearning.AI
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