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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
Show info about module content
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
Wind Power Forecasting
Week 2•5 hours to complete
Module details
What's included
18 videos3 readings1 assignment3 ungraded labs
Show info about module content
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
Monitoring Biodiversity
Week 3•2 hours to complete
Module details
What's included
9 videos2 readings1 assignment1 ungraded lab
Show info about module content
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
Monitoring Biodiversity Loss
Week 4•5 hours to complete
Module details
What's included
10 videos3 readings1 assignment3 ungraded labs
Show info about module content
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
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What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.