AI and Climate Change
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.
Monthly Subscription Starting at AED 99 + VAT
- Level Foundation
- Duration 15 hours
- Course by DeepLearning.AI
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Offered by
About
In Course 2: AI and Climate Change, you will begin by learning the basics of anthropogenic climate change — why it is happening, its projected impacts, and how it is already driving extreme weather around the globe. You will then learn how machine learning techniques can lessen climate change’s impacts and help communities prepare for those that do occur. Learners will take part in two hands-on labs. In the first, you will use data modeling techniques to visualize how climate change is modeled to cause average temperatures to change in different locations around the world. In the second, you will build a model that forecasts how much power wind turbines in different locations will generate. This course is part of the AI for Good Specialization, which demonstrates how AI is being harnessed to tackle some of the world’s biggest challenges — and provides a framework for you to be part of the solution. This is a beginner-friendly course. Learners should be familiar with high school-level mathematics and basic spreadsheet operations. It is recommended that learners first complete Course 1: AI and Public Health.Modules
Course Introduction
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7
Videos
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1
Readings
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1
Lab
1
Labs
- Exploring Global Temperature Change
7
Videos
- Welcome to AI and Climate Change
- What is Climate Change?
- Introduction to Jupyter Notebook Labs
- Global Temperature Change
- Impacts of Climate Change
- AI and Climate Change
- Caleb Robinson - Siting Renewable Energy Sources
1
Readings
- (Optional) Downloading your Notebook, Downloading your Workspace and Refreshing your Workspace
Quiz
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1
Assignment
1
Assignment
- Climate Change & Global Warming
Summary
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1
Videos
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1
Readings
1
Videos
- Week 1 Summary
1
Readings
- Acknowledgements
Resources
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2
Readings
2
Readings
- [IMPORTANT] Have questions, issues or ideas? Join our Forum!
- Week 1 Resources
Lecture Notes (Optional)
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1
Readings
1
Readings
- Lecture Notes W1
Exploring Wind Power
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7
Videos
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1
Readings
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1
Lab
1
Labs
- Explore Phase - Distribution of the Wind Power Data
7
Videos
- Introduction to Wind Power
- Jack Kelly - Predicting Solar Energy with Machine Learning
- AI for Good Framework
- Wind Power - Explore Phase
- Wind Power - Explore the Data
- Wind Power - Visualize the Data
- Wind Power: Explore Phase Checkpoint
1
Readings
- Optional: Machine Learning Can Boost the Value of Wind Energy
Designing and Implementing Wind Power Forecasting
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10
Videos
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2
Lab
2
Labs
- Design Phase - Feature Engineering on the Wind Power Data
- Design Phase - Forecasting Wind Power 24 Hours in Advance
10
Videos
- Wind Power - Establish a Baseline Model
- Wind Power - Improve the Baseline Model
- Wind Power- Train a Neural Network Model
- What is a Sequence Model?
- Wind Power - Establish Baseline Forecasts
- Wind Power - Improve Performance with Sequence Models
- Wind power - Include Wind Speed Forecasts
- Wind Power - Design Phase Checkpoint
- Wind Power - Project Wrap Up
- Lester Mackey - Climate Modeling and Prediction
Quiz
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1
Assignment
1
Assignment
- Wind Power Forecasting
Summary
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1
Videos
1
Videos
- Week 2 Summary
Resources
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1
Readings
1
Readings
- Week 2 Resources
Lecture Notes (Optional)
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1
Readings
1
Readings
- Lecture Notes W2
Introduction
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3
Videos
3
Videos
- Welcome to Week 3
- Climate Change and Biodiversity
- Monitoring Biodiversity
Classifying Animals in South Africa
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5
Videos
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1
Lab
1
Labs
- Explore Phase - Exploring the Karoo Image Data
5
Videos
- Snapshot Karoo
- Biodiversity - Explore the Data
- Biodiversity - Visualize the Data
- Sara Beery - Why Monitoring Biodiversity
- Biodiversity - Explore Phase Checkpoint
Quiz
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1
Assignment
1
Assignment
- Biodiversity Monitoring
Summary
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1
Videos
1
Videos
- Week 3 Summary
Resources
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1
Readings
1
Readings
- Week 3 Resources
Lecture Notes (Optional)
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1
Readings
1
Readings
- Lecture Notes W3
Convolutional Neural Networks
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6
Videos
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2
Lab
2
Labs
- Design Phase - Using the MegaDetector
- Design Phase - Fine-Tuning Your Classification Model
6
Videos
- Welcome to Week 4
- Convolutional Neural Networks and Pretraining
- Biodiversity - MegaDetector
- Transfer Learning and Fine-Tuning
- Biodiversity - Transfer Learning
- Biodiversity - Design Phase Checkpoint
Implementing Model for Detecting and Classifying Animals
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3
Videos
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1
Lab
1
Labs
- Implement Phase - Object Detection Pipeline
3
Videos
- Biodiversity - Implement Phase
- Biodiversity - Project Wrap Up
- Priya Donti - Tackling Climate Change with Machine Learning
End of access to Lab Notebooks
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1
Readings
1
Readings
- [IMPORTANT] Reminder about end of access to Lab Notebooks
Quiz
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1
Assignment
1
Assignment
- AI Models
Summary
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1
Videos
1
Videos
- Week 4 and Course Summary
Resources
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1
Readings
1
Readings
- Week 4 Resources
Lecture Notes (Optional)
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1
Readings
1
Readings
- Lecture Notes W4
Auto Summary
"AI and Climate Change" is a beginner-friendly course in the Data Science & AI domain, offered by Coursera. It covers the basics of anthropogenic climate change and explores how machine learning can mitigate its impacts. The course includes hands-on labs for data modeling and wind power forecasting. Part of the AI for Good Specialization, it is suitable for learners with high school-level math skills and basic spreadsheet knowledge. Ideal for those interested in using AI to tackle global challenges, the course lasts 900 minutes and is available via a Starter subscription.
Robert Monarch