AI and Public Health
Learn how AI can improve public health outcomes through air quality monitoring and healthcare solutions.
Learn how AI can improve public health outcomes through air quality monitoring and healthcare solutions.
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.
4.7
(183 ratings)
13,343 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 4 more
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What you'll learn
Understand the fundamentals of AI applications in public health
Implement the AI for Good project framework for health initiatives
Analyze air quality data using machine learning techniques
Develop practical skills with Jupyter notebooks and data analysis
Evaluate the impact of AI solutions in public health contexts
Create air quality monitoring applications
Skills you'll gain
This course includes:
4 Hours PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 3 modules in this course
This course introduces learners to the intersection of artificial intelligence and public health, with a focus on practical applications for social good. Through a combination of theoretical foundations and hands-on practice, students learn how AI can address critical public health challenges. The course features a comprehensive case study on air quality monitoring in Bogotá, Colombia, where students develop practical skills using Jupyter notebooks to analyze and interpret environmental data. The curriculum covers the AI for Good project framework, from problem definition to implementation, emphasizing real-world impact in public health initiatives.
Introduction to AI for Good
Module 1 · 1 Hours to complete
AI for Good Project Framework
Module 2 · 3 Hours to complete
Air Quality in Bogotá Colombia
Module 3 · 3 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
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4.7 course rating
183 ratings
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