Hands-on Data Science
AI in Public Health: From Theory to Practice
Adrian Dunkley
Adrian Dunkley is the founder and CEO of StarApple AI, Jamaica's first AI and Data Science company, he has a background in fintech, tourism, and sports science. He's held leadership roles in multinational corporations and is the President of the Jamaica Technology and Digital Alliance. Adrian aims to establish a Caribbean Space Agency and is a Data Scientist and A.I Engineer with 15+ years of experience. He holds a double major in Mathematics and Physics and a Masters in Enterprise Risk Management.
3 Days
Duration-
500Per Person
Individuals -
200Per Person
Groups of 5+ participants
Course Description:
Explore how AI can revolutionize public health in our 3-day course. From predicting disease outbreaks to personalizing healthcare delivery, AI offers numerous possibilities. Our expert trainers, with real-world experience in public health and AI, will guide you through the theoretical and practical aspects of applying AI in public health. You’ll gain a comprehensive understanding of how AI can enhance health outcomes and efficiency in the public health sector.
Syllabus:
- Introduction to AI in Public Health: Overview of artificial intelligence and its potential to transform public health, including foundational AI concepts relevant to healthcare.
- Predictive Analytics for Disease Outbreaks: Learning how AI and machine learning models can predict and manage disease outbreaks and public health emergencies.
- AI in Healthcare Delivery: Exploring the use of AI in personalizing healthcare, improving patient outcomes, and optimizing service delivery in public health systems.
- Ethical and Privacy Considerations: Addressing the ethical implications, privacy concerns, and regulatory challenges of using AI in public health.
- Hands-On AI Project in Public Health: Practical exercises and case studies demonstrating the application of AI tools and techniques to solve real-world public health challenges.
Prerequisites:
- There are no prerequisites for this course.
Grading Policy:
- 2 exams
- 1 capstone project
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