Artificial Intelligence and Health Management Course
This course equips learners with essential skills to develop ethical and effective AI applications for diabetes management in healthcare, focusing on fairness, data quality, workflow integration, privacy, and safe deployment.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Artificial Intelligence and Health Management Course provides practical skills to design, evaluate, and deploy safe, fair diabetes AI tools. Learn to assess data quality, select key clinical predictors, engineer reliable datasets, and build compliant workflows. Master bias mitigation, privacy and security safeguards, real-world implementation, continuous monitoring, and documentation so AI solutions improve outcomes while meeting regulatory standards.
Elevify advantages
Develop skills
- Design fair diabetes AI: apply bias tests, subgroup metrics, and mitigation.
- Engineer high-quality clinical data: build checks for accuracy, completeness, and time.
- Map AI to diabetes workflows: turn risk scores into clear clinician actions.
- Protect patient data in AI: apply HIPAA, consent, and secure EHR integration.
- Deploy and monitor AI safely: track drift, outcomes, and governance in practice.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workloadWhat our students say
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