Training on AI in Healthcare and Public Health
Apply AI to improve diagnosis, surveillance, and health system management. AI for medical imaging, predictive analytics, and health policy.
Next intake
20 Jul 2026 · Nakuru
Duration
10 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Intermediate
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
This course equips healthcare and public health professionals with AI skills to improve diagnosis, treatment, public health surveillance, and health system management. Participants will learn to apply AI for medical imaging, predictive health analytics, and health policy decision-making.
Who Should Attend:
- Healthcare administrators and managers
- Public health officials and epidemiologists
- Health informatics and data teams
- Clinical researchers and medical professionals
- Health policy and planning officers
What you'll walk away with
- To equip healthcare professionals with AI skills
- To enable AI-driven healthcare and public health
- To provide tools for improving health outcomes
- To build capability for AI-enhanced health systems
What we cover, module by module
Module 1: Introduction to AI in Healthcare and Public Health
- Understanding AI's role in healthcare
- AI applications across healthcare functions
- Key AI tools and platforms for healthcare
- Ethical and regulatory considerations
- Building an AI strategy for healthcare
- Case Study: Analyzing AI applications in healthcare
Module 2: AI for Diagnostics and Clinical Decision Support
- AI for medical imaging and diagnostics
- Predictive analytics for disease risk
- Clinical decision support systems
- AI for personalized medicine and treatment
- Integrating AI into clinical workflows
- Case Study: Implementing AI in clinical decision support
Module 3: AI for Public Health Surveillance and Epidemiology
- AI for disease surveillance and outbreak detection
- Predictive modeling for epidemic forecasting
- AI for health data integration and analysis
- Real-time public health monitoring
- Communicating public health insights with AI
- Case Study: Building a public health surveillance dashboard
Module 4: AI for Health Systems Management and Operations
- AI for hospital operations and resource optimization
- Patient flow optimization with AI
- AI for supply chain and inventory in healthcare
- Predictive analytics for workforce planning
- Cost optimization and efficiency analysis
- Case Study: Optimizing health system operations with AI
Module 5: AI for Health Policy and Planning
- AI for health policy analysis and impact assessment
- Predictive modeling for health outcomes
- AI for health financing and resource allocation
- Population health management with AI
- Communicating health policy insights with AI
- Case Study: Supporting health policy with AI analytics
Module 6: AI for Drug Discovery and Development
- AI for drug discovery and repurposing
- Predicting drug interactions and side effects
- Clinical trial optimization with AI
- Personalized medicine and pharmacogenomics
- Accelerating drug development with AI
- Case Study: Using AI in drug discovery
Module 7: AI for Mental Health and Behavioral Health
- AI for mental health screening and assessment
- Predictive analytics for mental health risks
- Chatbots and virtual therapists for mental health
- Monitoring and intervention with AI
- Ethical considerations in mental health AI
- Case Study: Implementing AI in mental health
Module 8: AI for Medical Imaging and Radiology
- Advanced AI techniques for radiology
- AI for detecting rare conditions
- Image segmentation and annotation with AI
- Integrating AI into radiology workflows
- Quality assurance and AI in medical imaging
- Case Study: Building an AI system for medical imaging
Module 9: AI for Health Equity and Access
- AI for identifying health disparities
- Improving healthcare access with AI
- Predictive analytics for underserved populations
- Reducing bias in healthcare AI
- Building equitable health AI systems
- Case Study: Addressing health equity with AI
Module 10: Future Trends and Responsible AI in Healthcare
- Emerging AI technologies in healthcare
- Generative AI for drug discovery and research
- AI for personalized health and wellness
- Ethical and regulatory frameworks
- Building responsible AI in healthcare
- Case Study: Designing a responsible AI strategy for healthcare
Where the change lands
Individual Impacts:
- Ability to apply AI to healthcare functions
- Skills in AI-powered diagnostics and analytics
- Knowledge of AI for public health surveillance
- Expertise in using AI for health systems management
Course Objectives:
- To equip healthcare professionals with AI skills
- To enable AI-driven healthcare and public health
- To provide tools for improving health outcomes
- To build capability for AI-enhanced health systems
Dates and locations
Upcoming intakes
Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.
| City | Starts | Ends | Delivery | Book |
|---|---|---|---|---|
NakuruNext | 20 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Kigali | 20 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Accra | 20 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 07 Aug 2026 | In-Person | Book |
Johannesburg | 27 Jul 2026 | 07 Aug 2026 | In-Person | Book |
Dakar | 27 Jul 2026 | 07 Aug 2026 | In-Person | Book |
- NakuruNext
20 Jul → 31 Jul·In-Person
Book this intake - Kigali
20 Jul → 31 Jul·In-Person
Book this intake - Accra
20 Jul → 31 Jul·In-Person
Book this intake - Kisumu
27 Jul → 07 Aug·In-Person
Book this intake - Johannesburg
27 Jul → 07 Aug·In-Person
Book this intake - Dakar
27 Jul → 07 Aug·In-Person
Book this intake
Common questions.
Still not sure? Send us a note and a facilitator will get back to you within a business day.
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Course finder
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Prefer to talk it through? Send us an enquiry and a facilitator will scope a fit within a business day.
For corporate teams
Training 10+ professionals?
We deliver Training on AI in Healthcare and Public Health in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.