What you will learn in the AI And Public Health Course
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Understand core AI concepts including neural networks and deep learning
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Implement prompt engineering techniques for large language models
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Build and deploy AI-powered applications for real-world use cases
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Design algorithms that scale efficiently with increasing data
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Understand transformer architectures and attention mechanisms
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Apply computational thinking to solve complex engineering problems
Program Overview
Module 1: Foundations of Computing & Algorithms
Duration: ~3 hours
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Assessment: Quiz and peer-reviewed assignment
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Hands-on exercises applying foundations of computing & algorithms techniques
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Case study analysis with real-world examples
Module 2: Neural Networks & Deep Learning
Duration: ~3-4 hours
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Guided project work with instructor feedback
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Introduction to key concepts in neural networks & deep learning
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Case study analysis with real-world examples
Module 3: AI System Design & Architecture
Duration: ~2-3 hours
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Hands-on exercises applying ai system design & architecture techniques
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Guided project work with instructor feedback
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Discussion of best practices and industry standards
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Introduction to key concepts in ai system design & architecture
Module 4: Natural Language Processing
Duration: ~4 hours
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Introduction to key concepts in natural language processing
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Guided project work with instructor feedback
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Review of tools and frameworks commonly used in practice
Module 5: Computer Vision & Pattern Recognition
Duration: ~2 hours
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Assessment: Quiz and peer-reviewed assignment
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Discussion of best practices and industry standards
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Hands-on exercises applying computer vision & pattern recognition techniques
Module 6: Deployment & Production Systems
Duration: ~1-2 hours
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Review of tools and frameworks commonly used in practice
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Interactive lab: Building practical solutions
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Guided project work with instructor feedback
Job Outlook
- The demand for professionals skilled in AI and public health is increasing as governments and organizations adopt data-driven approaches to improve healthcare systems.
- Career opportunities include roles such as Public Health Analyst, Health Data Scientist, and Epidemiology Specialist, with salaries ranging from $70K – $140K+ globally depending on experience and expertise.
- Strong demand for professionals who can apply AI in public health to analyze disease patterns, enhance healthcare delivery, and support policy decisions.
- Employers value candidates who can leverage AI for data analysis, predictive modeling, and population health management.
- Ideal for healthcare professionals, researchers, and individuals interested in public health and data science.
- AI and public health skills support career growth in healthcare organizations, research institutions, and government agencies.
- With increasing focus on global health challenges and data-driven solutions, demand for AI-enabled public health professionals continues to rise.
- These skills also open opportunities in health policy, epidemiology, and digital health innovation.
