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
11,988 already enrolled
143 reviews
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Skills you'll gain
- Artificial Neural Networks
- Model Optimization
- Data Processing
- Model Evaluation
- Environmental Science
- Model Training
- Environmental Issue
- Supervised Learning
- Artificial Intelligence
- Machine Learning Methods
- Convolutional Neural Networks
- Climate Change Adaptation
- Applied Machine Learning
- Image Analysis
- Forecasting
- Computer Vision
- Climate Change Mitigation
- Environmental Monitoring
- Fine-tuning
- Predictive Modeling
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Reviewed on Jul 15, 2023
very informative. thank you so much DeepLearning.AI
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 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 ✨


