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
Sponsored by Syrian Youth Assembly
8,083 already enrolled
Gain insight into a topic and learn the fundamentals.
4.8
(102 reviews)
Beginner level
Recommended experience
14 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace
Details to know
Shareable certificate
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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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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
Instructor
Instructor ratings
4.9 (41 ratings)Offered by
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4.8
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Showing 3 of 102
AS
5
Reviewed on Aug 3, 2023
We need more courses like this which address the problems in our world and try to solve them using AI.
ER
5
Reviewed on Aug 19, 2023
It is an amazing course where we can see real life applications of AI and machine learning
AM
4
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
Universiteit Leiden
University of Leeds
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