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
This course is part of AI for Good Specialization
Instructor: Robert Monarch
Sponsored by Syrian Youth Assembly
8,228 already enrolled
(106 reviews)
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Skills you'll gain
- Predictive Analytics
- Environmental Resource Management
- Applied Machine Learning
- Environmental Issue
- Environment and Resource Management
- Environmental Policy
- Time Series Analysis and Forecasting
- Machine Learning Algorithms
- Deep Learning
- Natural Resource Management
- Statistical Machine Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Environmental Monitoring
- Machine Learning
- Image Analysis
- Artificial Neural Networks
- Machine Learning Methods
- Predictive Modeling
- Forecasting
- Artificial Intelligence
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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 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 ✨
Reviewed on May 23, 2024
Very good in-depth look at the use of Ai for climate change with examples that inspire you to develop other systems and tools.
Reviewed on Sep 13, 2023
Great eye opener course to help you understand more about AI and how it affects our daily lives.
Recommended if you're interested in Data Science
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