Applied data and AI
Hands-on experience with Databricks data engineering, analytics, and AI tools.
Tech@NYU
Mentorship
Build data and AI projects with Databricks engineers in a semester-long mentorship cohort.
Overview
Students work in teams of three with an industry mentor and learn through weekly sessions led by Databricks Solutions Architects. The program runs from late September to late November, with a required Tuesday evening meeting and a mix of virtual and in-person activities. Exceptional participants may have an opportunity to apply to partner company internship programs afterward.
Outcomes
Industry mentorship
Technical mentorship and industry insight from Databricks Solutions Architects. A project demonstrating applied data and software skills.
Build your next step
A community of students interested in data engineering, data science, and computer science. A potential opportunity to apply to partner company internships after the program.
Expectations
Requirements
- Attend the required weekly meeting on Tuesdays, 6:30-8:30 p.m. Alternative meeting times are unavailable.
- Have previous coding and project experience; include a GitHub link in your application.
- Sophomores and juniors are preferred, though students in other years may apply.
Deliverables
- A final project using a synthetic dataset based on real Databricks customer challenges.
- Insights, models, or tools intended to improve a client company’s data analytics.
- A final project showcase.
Curriculum
Application Layer
Deploy apps and work with Lakebase on Databricks.
Data Engineering
Explore Unity Catalog, medallion architecture, and Lakeflow.
Data Warehousing and AI/BI
Build analytics and business intelligence workflows.
Agentic Workflows
Work with Genie and Agent Bricks.
Data Science and Classic ML
Develop data science and machine learning workflows.
Governance, Monitoring, and Observability
Manage and assess data and application workflows.
Project Workday and Production
Prepare for production with Databricks Asset Bundles and CI/CD.
Application
Questions about the program?
hello@techatnyu.org