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
12,112 already enrolled
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Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
- Environmental Issue
- Climate Change Adaptation
- Artificial Neural Networks
- Fine-tuning
- Supervised Learning
- Forecasting
- Convolutional Neural Networks
- Climate Change Mitigation
- Environmental Monitoring
- Model Evaluation
- Model Training
- Machine Learning Methods
- Computer Vision
- Artificial Intelligence
- Data Processing
- Applied Machine Learning
- Predictive Modeling
- Image Analysis
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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