Two self-paced modules — open to any team member — covering the governance frameworks and ethical principles that make AI trustworthy in regulated clinical environments.
Both modules are designed as a starting point before deeper Academy certification tracks — and as a refresher for teams already working with Aurelyn Clinical Engines™.
A practitioner's course in deploying AI responsibly inside regulated clinical environments — policy design, human-in-the-loop checkpoints, explainability, and audit-ready documentation aligned to the NIST AI Risk Management Framework.
A foundational course on the ethical principles, bias mitigation strategies, and responsible-use frameworks every team member should understand before working alongside AI in clinical research.
A practitioner's course in deploying AI responsibly inside regulated clinical environments — policy design, human-in-the-loop checkpoints, explainability, and audit-ready documentation aligned to the NIST AI Risk Management Framework.
A foundational course on the ethical principles, bias mitigation strategies, and responsible-use frameworks every team member should understand before working alongside AI in clinical research.
Start here. Responsible & Ethical AI and AI Governance build the shared vocabulary and principles every role needs.
Move into the full Academy catalog — eTMF Excellence, Regulatory Intelligence, AI in Clinical Development, and more.
Complete a track and earn a verifiable credential recognized across the Aurelyn ecosystem.
Two modules, open access, no technical background required.