AI and Climate Change
Learn how AI can combat climate change through wind power forecasting and biodiversity monitoring. Perfect for beginners interested in AI applications.
Learn how AI can combat climate change through wind power forecasting and biodiversity monitoring. Perfect for beginners interested in AI applications.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full AI for Good Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.8
(86 ratings)
7,419 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 2 more
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What you'll learn
Understand the mechanisms of climate change and its global impacts
Implement AI techniques for wind power forecasting
Develop computer vision systems for biodiversity monitoring
Apply machine learning to environmental conservation
Master the AI for Good project framework
Skills you'll gain
This course includes:
4.5 Hours PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course explores the intersection of artificial intelligence and climate change solutions. Students learn about climate change mechanisms and their global impacts, followed by practical applications of AI in environmental conservation. The course features two main case studies: using time series analysis for wind power forecasting and implementing computer vision for biodiversity monitoring. Through hands-on projects, learners gain experience with real-world applications of AI in climate change mitigation and adaptation strategies.
Introduction to AI and Climate Change
Module 1 · 2 Hours to complete
Wind Power Forecasting
Module 2 · 5 Hours to complete
Monitoring Biodiversity
Module 3 · 2 Hours to complete
Monitoring Biodiversity Loss
Module 4 · 4 Hours to complete
Fee Structure
Instructor
AI Pioneer Combines Human and Machine Intelligence to Address Global Challenges
Robert Monarch (Munro) is a distinguished AI expert and author who specializes in integrating human and machine intelligence for practical applications. With a Ph.D. from Stanford University and over 20 years of experience, he has contributed to AI development at major tech companies including Google, Amazon, Microsoft, and Apple. As the author of "Human-in-the-Loop Machine Learning," he provides foundational insights into combining human and machine intelligence effectively. His work spans critical applications in disaster response and public health worldwide, demonstrating AI's potential for social impact. Through his role at DeepLearning.AI, he develops courses that make complex AI concepts accessible to learners globally, while his entrepreneurial ventures in AI startups showcase his commitment to practical innovation. His approach emphasizes the importance of human oversight in machine learning systems, ensuring AI solutions remain both effective and ethically sound
Testimonials
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4.8 course rating
86 ratings
Frequently asked questions
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