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Learn the Latest Skills

Stay current as AI and technology evolve. Our structured lessons give you practical, easy-to-apply skills you can use right away.

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Build your expertise with flexible, self-guided modules designed to fit your schedule and support steady, skill-building progress.

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Gain insights from university-based researchers who translate complex AI and technology concepts into clear, real-world understanding.

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About Area Two

WHO WE ARE

About the Collaborative AI Technology Center

The Collaborative AI Technology Center is a university-based partnership created to make AI and emerging technologies easier to understand and apply. Our structured, accessible education and research-informed certifications give learners practical skills they can build at their own pace.

Developed jointly by the GW Biomedical Informatics Center and the University of Maryland Eastern Shore School of Pharmacy, the center brings together researchers and subject-matter experts who turn complex concepts into clear, easy-to-use knowledge.

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COURSE

Explore our courses designed to build practical AI knowledge and real-world skills across industries.

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Demystifying AI for Health Professionals

23/02/26

Feedback

We are using the modules in a short course for state health department employees. It has been a great asset to our participants who have had limited exposure to AI and its potential for their work. We have generated thoughtful conversations and contemplated many ways in which AI could further our collective public health work.

Maryann Mason, PhD

Professor of Emergency Medicine Feinberg School of Medicine, Northwestern University Associate Director, Buehler Center for Health Policy and Economics

We are providing access to the CAIT Center modules to help learners understand the rapidly evolving world of artificial intelligence and its revolutionary impact across industries. The modules encourage participants to think critically about how AI can support innovation, research, and real-world problem solving.

Qing Zeng, PhD

Director, Biomedical Informatics Center Professor, Department of Clinical Research and Leadership, George Washington University School of Medicine and Health Sciences

Instructor Area

COURSE INSTRUCTORS

Meet Our Researchers and Instructors

Our courses are led by PhD-level researchers and experienced instructors who specialize in AI, technology, and data-driven innovation. They translate complex ideas into clear, practical concepts that support real learning and real application.

Qing Zeng, PhD

Director, Biomedical Informatics Center Professor, Department of Clinical Research and Leadership, George Washington University School of Medicine and Health Sciences

T. Sean Vasaitis, Ph.D., M.S. EHS

Dean and Professor, School of Pharmacy and Health Professions University of Maryland Eastern Shore

Linda Zanin, EdD

Adjunct Professor, Department of Clinical Research and Leadership George Washington University School of Medicine and Health Sciences

Meet Our Experts

Blog Area

RESEARCH AND INSIGHTS

Insights From Our Researchers and Instructors

Read analysis and research-driven commentary on emerging trends in AI and technology.

blog

AI Healthcare Education: Solving the Clinician Burnout Crisis

The CAIT Center
9 March 2026

Get into details now? View all posts.

Advancing AI and Technology Education Through Research

Through interdisciplinary research and academic collaboration, the CAIT Center provides evidence-informed education that prepares professionals to thoughtfully assess, ethically implement, and effectively apply AI and emerging technologies across professional environments.

Grow Your Expertise With AI and Technology Education

Learn the Latest Skills

Go at Your Own Pace

Learn from Industry Experts

About the Collaborative AI Technology Center

Explore our courses designed to build practical AI knowledge and real-world skills across industries.

Demystifying AI for Health Professionals

Maryann Mason, PhD

Qing Zeng, PhD

Meet Our Researchers and Instructors

Qing Zeng, PhD

T. Sean Vasaitis, Ph.D., M.S. EHS

Linda Zanin, EdD

Insights From Our Researchers and Instructors

AI Healthcare Education: Solving the Clinician Burnout Crisis

The CAIT Center

Advancing AI and Technology Education Through Research

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