This certificate:

• Explains foundational concepts of AI and machine learning as applied to health, including key algorithms, generative AI, and digital health technologies.
• Critically evaluates ethical, legal, and regulatory implications of AI in health, including bias, fairness, privacy, and data governance.
• Applies AI tools and data analysis to real-world health challenges such as clinical decision support and predictive modeling.
• Implements data-driven solutions to enhance patient outcomes, operational efficiency, and healthcare delivery.
• Communicates analytic findings effectively to diverse stakeholders by translating technical results into actionable insights.
• Collaborates with interdisciplinary team members to lead or contribute to AI initiatives in health organizations with professionalism and ethical responsibility.