Course 3 of 4 in this specialization

Implementing AI Solutions for Sustainability and Aid

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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