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Welcoming the first cohort of Databricks student fellows
Elise Hollowed, Joe Nash, Trang Le
- Source
- Databricks
- Published
- Added to Yomu
Summary
Databricks announces its inaugural Student Fellows cohort, selected from more than 5,000 applications submitted by students at hundreds of universities and from dozens of countries. The program targets students who contribute on campus, apply data and AI in practice, and intend to pursue careers in the field, with fellows acting as bridges between academic theory and the real-world scale of the Databricks platform. Five students are profiled, with experience spanning large-scale AI systems, ETL pipelines, computer vision, machine learning platforms, robotics, data modeling, and local retrieval-augmented generation architectures. During the coming academic year, the cohort will receive training from Databricks experts and hands-on experience solving complex data challenges, while building a launchpad for future internship opportunities. The program invites applications for its next cohort in Fall 2026 and points readers to Databricks Free Edition.
Context
The program was created for students seeking to improve their real-world skills in AI and data engineering and bring that knowledge back to their campuses and classmates. Fellows were selected for campus contributions, practical engagement with data and AI, and commitment to careers in the field.
Approach / What changed
Databricks selected an inaugural cohort from more than 5,000 applications and will provide exclusive expert training, hands-on experience with complex data challenges, and access to Databricks technology, workshops, and certifications. Fellows will connect academic theory with practical use of the Databricks platform and support other students on their campuses.
Takeaways
- The inaugural cohort was selected from over 5,000 applications representing students from hundreds of universities and dozens of countries.
- The five profiled fellows have experience across AI systems, ETL pipelines, computer vision, machine learning platforms, robotics, data modeling, and retrieval-augmented generation.
- Over the coming academic year, fellows will receive Databricks expert training and practical experience, with the program also serving as a launchpad for future internship opportunities.