Objective and Methodology
To empower healthcare professionals through a progressive and personalized journey towards the ethical, safe, and strategic use of Artificial Intelligence.
The Training Module
Comprehensive AI in Healthcare Program
A concise curriculum designed to bridge the gap between theoretical knowledge and practical application. The program is structured into 2-hour sessions to ensure high engagement and long-term retention.
Format and Structure
Duration: 6 to 10 hours (3 to 5 sessions).
Session Design: 60–90 minutes of interactive lecture + 30 minutes for Q&A and case discussions.
Audience: Up to 40 participants per cohort.
Curriculum Structure:
- I. Foundations of AI in Medicine
- Demystifying AI, Machine Learning (ML), and Deep Learning (DL).
- The current landscape: Challenges and solutions in institutional AI adoption.
- LLMs vs. SLMs: Infrastructure and security considerations for health authorities.
- II. Prompt Mastery for Healthcare
- Prompt 101: Context, Persona, Task, and Constraints.
- Advanced Prompt Engineering.
- Reasoning Frameworks: Chain-of-Thought (CoT), Tree-of-Thoughts (ToT), Chain-of-Debate (CoD), and Chain-of-Learning (CoL).
- Parameters and System Instructions.
- III. AI Tools & Ecosystem Integrations
- Overview of leading Large Language Models (LLMs).
- Integration and tools.
- Collaborative environments and real-time editing (Canvas).
- IV. Specialized AI Applications in Healthcare
- AI and Evidence-Based Medicine (EBM).
- Dedicated tools for healthcare professionals.
- NotebookLM implementation for institutional protocols and research data.
- V. Advanced Topics: Education, Strategy, Ethics & Governance
- The role of AI in medical education and continuous professional development.
- Ethical considerations in AI-driven decision-making.
- Data protection and privacy regulations.
- "Document AI".
Investment Options
Literacy & Awareness
6-Hour Intensive
USD 9,600.00
Per cohort (up to 40 participants)
Covers Topics I through III: Foundations, prompt mastery, and core tool integration.
Institutional Transformation
10-Hour Comprehensive
USD 16,000.00
Per cohort (up to 40 participants)
Covers Topics I through V: Includes specialized applications, EBM tools, and advanced RAG implementations.
Customized modules or multi-cohort options are available upon request to meet specific deployment scales or needs.
Technical Leadership
The training will be primarily delivered by the Tech Lead. To enhance the learning experience and optimize the schedule, senior collaborators may be involved under the Lead's direct supervision.
Tech Lead
Aydamari Faria-Jr, BSc, MSc, PhD
Professor at the Federal Fluminense University (UFF) with an MSc in Neuroimmunology and a PhD in Physiology (UFRJ). He is also currently an MD candidate in his clinical internship years. His research focuses on the intersection of cognitive neuroscience, education, and the impact of Artificial Intelligence in healthcare.
Creator of "IA e Medicina," a platform dedicated to the evidence-based analysis of AI in healthcare. He serves as a mentor, keynote speaker, and consultant, empowering healthcare professionals to use AI ethically and efficiently.
Key Highlights:
- AI Instructor for CREMESP (Medical Council) and other major health institutions.
- Expert contributor for prominent AI research groups and podcasts.
- Author of "IA na Prática" (AI in Practice) and the "IA e Medicina" newsletter.
- TEDx Speaker.
Next Steps
The next stage involves a kick-off meeting to align institutional priorities, finalize the training schedule, and define specific departmental needs.
Proposed Start Date: First half of February 2026.
Upon the successful completion of these initial modules, advanced training and strategic consulting for specialized units can be discussed.