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 ExxonMobil
11,525 already enrolled
142 reviews
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Skills you'll gain
- Environmental Monitoring
- Artificial Intelligence
- Environmental Science
- Climate Change Mitigation
- Computer Vision
- Applied Machine Learning
- Supervised Learning
- Machine Learning Methods
- Artificial Neural Networks
- Predictive Modeling
- Image Analysis
- Data Processing
- Model Evaluation
- Forecasting
- Deep Learning
- Convolutional Neural Networks
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There are 4 modules in this course
What's included
8 videos5 readings1 assignment1 ungraded lab
What's included
18 videos3 readings1 assignment3 ungraded labs
What's included
9 videos2 readings1 assignment1 ungraded lab
What's included
10 videos3 readings1 assignment3 ungraded labs
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Reviewed on Sep 13, 2023
Great eye opener course to help you understand more about AI and how it affects our daily lives.
Reviewed on Oct 14, 2025
Very great intro and real project implementation of tackling climate change with AI/ML
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 ✨
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