Course 3 of 4 in this specialization
Implementing AI Solutions for Sustainability and Aid
Coming soon 42 topics Self-paced · Online
Notify me when it launches
Where this comes from
Built from the Wiley title of the same name — professionally edited, technically reviewed, and already relied on by people doing this work.
Source ISBN 9781394235889
How it was built
Sejal Learning Systems rebuilt the book as a course: objectives first, then short video, worked examples, and practice with real feedback. It runs on Coursera at your own pace, with a certificate on completion.
Implementing AI Solutions for Sustainability and Aid is a self-paced online course built from the Wiley title of the same name.
What this course covers
- Introduction
- Part I: Primer on Artificial Intelligence and Machine Learning
- Chapter 1: What Is Artificial Intelligence and How Can It Be Used for Good?
- Chapter 2: Artificial Intelligence: Its Application and Limitations
- Chapter 3: Commonly Used Processes and Terms
- Part II: Sustainability
- Chapter 4: Deep Learning with Geospatial Data
- Chapter 5: Nature-Dependent Tourism
- Chapter 6: Wildlife Bioacoustics Detection
- Chapter 7: Using Satellites to Monitor Whales from Space
- Chapter 8: Social Networks of Giraffes
- Chapter 9: Data-driven Approaches to Wildlife Conflict Mitigation in the Maasai Mara
- Chapter 10: Mapping Industrial Poultry Operations at Scale
- Chapter 11: Identifying Solar Energy Locations in India
- Chapter 12: Mapping Glacial Lakes
- Chapter 13: Forecasting and Explaining Degradation of Solar Panels with AI
- Part III: Humanitarian Action
- Chapter 14: Post-Disaster Building Damage Assessment
- Chapter 15: Dwelling Type Classification
- Chapter 16: Damage Assessment Following the 2023 Earthquake in Turkey
- Chapter 17: Food Security Analysis
- Chapter 18: BankNote-Net: Open Dataset for Assistive Universal Currency Recognition
- Chapter 19: Broadband Connectivity
- Chapter 20: Monitoring the Syrian War with Natural Language Processing
- Chapter 21: The Proliferation of Misinformation Online
- Chapter 22: Unlocking the Potential of AI with Open Data
- Part IV: Health
- Chapter 23: Detecting Middle Ear Disease
- Chapter 24: Detecting Leprosy in Vulnerable Populations
- Chapter 25: Automated Segmentation of Prostate Cancer Metastases
- Chapter 26: Screening Premature Infants for Retinopathy of Prematurity in Low-Resource Settings
- Chapter 27: Long-Term Effects of COVID-19
- Chapter 28: Using Artificial Intelligence to Inform Pancreatic Cyst Management
- Chapter 29: NLP-Supported Chatbot for Cigarette Smoking Cessation
- Chapter 30: Mapping Population Movement Using Satellite Imagery
- Chapter 31: The Promise of AI and Generative Pre-Trained Transformer Models in Medicine
- Part V: Summary, Looking Forward, and Additional Resources
- Epilogue: Getting Good at AI for Good
- AI and Satellites: Critical Tools to Help Us with Planetary Emergencies
- Additional Resources
- Acknowledgments
- About the Editors