AI and Climate Change
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AI and Climate Change
This course is part of AI for Good Specialization
Instructor: Robert Monarch
12,072 already enrolled
143 reviews
Recommended experience
143 reviews
Recommended experience
Skills you'll gain
- Predictive Modeling
- Image Analysis
- Fine-tuning
- Artificial Neural Networks
- Environmental Issue
- Model Optimization
- Supervised Learning
- Convolutional Neural Networks
- Environmental Science
- Climate Change Adaptation
- Environmental Monitoring
- Model Evaluation
- Artificial Intelligence
- Data Processing
- Forecasting
- Model Training
- Machine Learning Methods
- Computer Vision
- Climate Change Mitigation
- Applied Machine Learning
Details to know
4 assignments
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There are 4 modules in this course
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.
What's included
8 videos5 readings1 assignment1 ungraded lab
8 videos•Total 46 minutes
- Welcome to AI and Climate Change•6 minutes
- What is Climate Change?•7 minutes
- Introduction to Jupyter Notebook Labs•5 minutes
- Global Temperature Change•9 minutes
- Impacts of Climate Change•7 minutes
- AI and Climate Change•5 minutes
- Caleb Robinson - Siting Renewable Energy Sources•5 minutes
- Week 1 Summary•3 minutes
5 readings•Total 28 minutes
- (Optional) Downloading your Notebook, Downloading your Workspace and Refreshing your Workspace•5 minutes
- Acknowledgements•10 minutes
- Join the DeepLearning.AI Forum to ask questions, get support, or share amazing ideas!•2 minutes
- Week 1 Resources•10 minutes
- Lecture Notes W1•1 minute
1 assignment•Total 15 minutes
- Climate Change & Global Warming•15 minutes
1 ungraded lab•Total 60 minutes
- Exploring Global Temperature Change•60 minutes
What's included
18 videos3 readings1 assignment3 ungraded labs
18 videos•Total 108 minutes
- Introduction to Wind Power•6 minutes
- Jack Kelly - Predicting Solar Energy with Machine Learning•6 minutes
- AI for Good Framework•4 minutes
- Wind Power - Explore Phase•7 minutes
- Wind Power - Explore the Data•7 minutes
- Wind Power - Visualize the Data•11 minutes
- Wind Power: Explore Phase Checkpoint•4 minutes
- Wind Power - Establish a Baseline Model•10 minutes
- Wind Power - Improve the Baseline Model•4 minutes
- Wind Power- Train a Neural Network Model•5 minutes
- What is a Sequence Model?•4 minutes
- Wind Power - Establish Baseline Forecasts•8 minutes
- Wind Power - Improve Performance with Sequence Models•7 minutes
- Wind power - Include Wind Speed Forecasts•7 minutes
- Wind Power - Design Phase Checkpoint•3 minutes
- Wind Power - Project Wrap Up•4 minutes
- Lester Mackey - Climate Modeling and Prediction•6 minutes
- Week 2 Summary•5 minutes
3 readings•Total 21 minutes
- Optional: Machine Learning Can Boost the Value of Wind Energy•10 minutes
- Week 2 Resources•10 minutes
- Lecture Notes W2•1 minute
1 assignment•Total 15 minutes
- Wind Power Forecasting•15 minutes
3 ungraded labs•Total 180 minutes
- Explore Phase - Distribution of the Wind Power Data•60 minutes
- Design Phase - Feature Engineering on the Wind Power Data•60 minutes
- Design Phase - Forecasting Wind Power 24 Hours in Advance•60 minutes
What's included
9 videos2 readings1 assignment1 ungraded lab
9 videos•Total 47 minutes
- Welcome to Week 3•2 minutes
- Climate Change and Biodiversity•8 minutes
- Monitoring Biodiversity•6 minutes
- Snapshot Karoo•5 minutes
- Biodiversity - Explore the Data•7 minutes
- Biodiversity - Visualize the Data•5 minutes
- Sara Beery - Why Monitoring Biodiversity•6 minutes
- Biodiversity - Explore Phase Checkpoint•4 minutes
- Week 3 Summary•3 minutes
2 readings•Total 11 minutes
- Week 3 Resources•10 minutes
- Lecture Notes W3•1 minute
1 assignment•Total 15 minutes
- Biodiversity Monitoring•15 minutes
1 ungraded lab•Total 60 minutes
- Explore Phase - Exploring the Karoo Image Data•60 minutes
What's included
10 videos3 readings1 assignment3 ungraded labs
10 videos•Total 68 minutes
- Welcome to Week 4•4 minutes
- Convolutional Neural Networks and Pretraining•3 minutes
- Biodiversity - MegaDetector•12 minutes
- Transfer Learning and Fine-Tuning•7 minutes
- Biodiversity - Transfer Learning•19 minutes
- Biodiversity - Design Phase Checkpoint•4 minutes
- Biodiversity - Implement Phase•4 minutes
- Biodiversity - Project Wrap Up•5 minutes
- Priya Donti - Tackling Climate Change with Machine Learning•7 minutes
- Week 4 and Course Summary•3 minutes
3 readings•Total 13 minutes
- [IMPORTANT] Reminder about end of access to Lab Notebooks•2 minutes
- Week 4 Resources•10 minutes
- Lecture Notes W4•1 minute
1 assignment•Total 15 minutes
- AI Models•15 minutes
3 ungraded labs•Total 180 minutes
- Design Phase - Using the MegaDetector•60 minutes
- Design Phase - Fine-Tuning Your Classification Model•60 minutes
- Implement Phase - Object Detection Pipeline•60 minutes
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Showing 3 of 143
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 ✨
Reviewed on Jan 25, 2025
This is a great course - we don't need AGI - just look at how much impact ToolAI (or ANI) has been delivering for humanity! Let's just focus on what AI can do (for good), and less about profiteering.
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