EDSAFE AI Fellowships

Education is fundamentally a human enterprise.
Learn more about our Fellowships.
Build Knowledge
Through a series of interactive, virtual workshops with the world's leading experts in AI, you'll learn the basics but also explore emerging trends and hot topics centered on the SAFE framework.
Learn With A Cohort
You'll be in a cohort of 30+ people who will learn alongside you, sharing their unique perspectives and experiences. The cohort will have mentorship from previous EDSAFE Fellows and gather in person at least once during the year.
Project Based
You'll apply your knowledge at the end of the Fellowship with a microcapstone that you build, shape, and deploy in your unique context.
Applications are now open!
Applications are due November 30, 2026, at 10 p.m. EST. Fellows will be announced in January 2027.
Have a question about the Fellowships?
Check out the FAQ here.
Catalyst Fellowship
Bringing together education leaders across both practice and industry, this interdisciplinary fellowship unites the supply and demand sides of the sector to build a resilient, AI-enabled learning ecosystem. Fellows collaborate across traditional silos to ensure emerging technologies are safe by design, grounded in evidence, and built to elevate human judgment and student agency.

Women in AI Fellowship
Built for women at the forefront of technology and education, this fellowship creates a collaborative space for peer support, continuous learning, and deep ecosystem connection. Bringing together practitioners, system leaders, and EdTech innovators across the supply and demand sides, this interdisciplinary program empowers leaders to reimagine learning systems powered by AI that is safe by design, grounded in evidence, and centered on human agency.
Vanguard Fellowship
Built alongside practitioners and field leaders, this fellowship creates an intentional space for learning, peer support, and ecosystem building among individuals serving in schools, school districts, states, and other educational institutions. The program empowers education leaders to design resilient, AI-enabled learning systems. Rooted in real-world practice, fellows actively share knowledge to ensure the future of AI in education is safe by design, pedagogy-first, and centered on human judgment.
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