This advanced professional development course is designed for educators, clinicians, and academic leaders who are ready to take the next step in integrating artificial intelligence into their practice. Participants will explore Explainable AI (XAI), conduct ethics and bias audits, and gain hands-on experience collaborating with data science professionals. With a strong emphasis on understanding and analyzing training data, attendees will learn how to assess data reliability, communicate insights with empathy, and apply human-centered approaches that preserve trust in AI-assisted care.

The course also focuses on developing leadership strategies and mastering crucial conversations in AI-integrated environments. Through expert-led virtual sessions, participants will engage with national leaders in AI, healthcare data, and change management. Attendees can expect 12–15 hours of immersive learning, interactive discussions, and case-based exploration, culminating in actionable strategies for responsible, collaborative AI implementation in healthcare and education.