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 Columbia College
11,924 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%
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Skills you'll gain
- Model Evaluation
- Environmental Monitoring
- Climate Change Adaptation
- Environmental Science
- Model Optimization
- Data Processing
- Image Analysis
- Computer Vision
- Forecasting
- Climate Change Mitigation
- Predictive Modeling
- Convolutional Neural Networks
- Applied Machine Learning
- Fine-tuning
- Supervised Learning
- Environmental Issue
- Model Training
- Artificial Neural Networks
- Artificial Intelligence
- Machine Learning Methods
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
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 ✨
AR
Reviewed on Jul 15, 2023
very informative. thank you so much DeepLearning.AI
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