DeepLearning.AI - AI and Climate Change
- Offered byCoursera
AI and Climate Change at Coursera Overview
Duration | 15 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
AI and Climate Change at Coursera Highlights
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Coursera Labs Includes hands on learning projects. Learn more about Coursera Labs External Link
- Course 2 of 3 in the AI for Good Specialization
- Beginner Level
- Approx. 15 hours to complete
- English Subtitles: English
AI and Climate Change at Coursera Course details
- In Course 2: AI for 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 changes 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 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 for Good.
AI and Climate Change at Coursera Curriculum
Introduction to AI and Climate Change
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
Project Spotlight: Caleb Robinson - Siting Renewable Energy Sources
Week 1 Summary
Week 1 Resources
Climate Change & Global Warming
Wind Power Forecasting
Introduction to Wind Power
Jack Kelly - Predicting Solar Energy with Machine Learning
AI for Good Framework
Exploring Wind Power Forecasting
Wind Power - Explore the Data
Wind Power: Visualize the Data
Explore Phase Checkpoint
Wind Power - Establish a Baseline Model
Wind Power - Improve the Baseline Model
Wind Power Forecasting: Neural Network
What is a Sequence Model?
Wind Power Forecasting: Baseline Forecasts
Wind Power - Improve Performance with Sequence Models
Wind Power Forecasting: Including Wind Forecasts
Design Phase Checkpoint
Wind Power - Project Wrap Up
Lester Mackey - Climate modeling and prediction
Week 2 Summary
Optional: Machine Learning Can Boost the Value of Wind Energy
Week 2 Resources
Wind Power Forecasting
Monitoring Biodiversity
Welcome to Week 3
Climate Change and Biodiversity
Monitoring Biodiversity
Snapshot Karoo
Snapshot Karoo: Explore the Data
Snapshot Karoo: Visualize the Data
Project Spotlight: Sara Beery - Why Monitoring Biodiversity
Biodiversity - Explore Phase Checkpoint
Week 3 Summary
Week 3 Resources
Biodiversity Monitoring
Monitoring Biodiversity Loss
Welcome to Week 4
Convolutional Neural Networks and Pretraining
Biodiversity - MegaDetector
Transfer Learning and Fine-Tuning
Biodiversity - Transfer Learning
Biodiversity - Design Phase Checkpoint
Biodiversity - Implement Phase
Biodiversity - Project Wrap Up
Project Spotlight: Priya Donti - Tackling Climate Change with Machine Learning
Week 4 and Course Summary
Week 4 Resources
AI Models
AI and Climate Change at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Student Forum
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