Inclusivity
We accelerate advanced members' learning and cultivate the skills of those who are new to the field.
About us
Making ML education accessible at Duke
An open-membership student org at Duke that develops skilled ML practitioners through structured training and real-world projects.
What we stand for
Our values
Structured Pipeline
Members progress from training to project work and into leadership roles.
Real Impact
Our work ships: EDA reports, model prototypes, and deployed solutions.
Strong Community
A collaborative environment built on mentorship, team-based work, and lasting connections.
Progression
Earn your way to leadership
Anyone can join. Roles are earned through training, project work, and results.
Member
Engagement with our training program, GBMs, and events. Actively in AITP.
Junior Engineer
Completion of our AI training program, these members are now familiar with the fundamentals of data science / ML.
Data Scientist
Actively work on our high-stakes projects, completing deliverables throughout the semester.
Project Manager
These engineers now pave their way to leading DAML's next project initiatives.
DS Director
The main leads shaping the next DS/ML initiatives of DAML.
Training
How we train our members
Our 10-week AI Training Program takes members from the fundamentals of machine learning to the models behind today's AI, covering the core math and evaluation metrics, classical methods, neural networks, transformers, generative models, and agents.
Members complete assessments and project presentations before advancing to project teams, ensuring every engineer can contribute meaningfully to real project work.
How we work
How we work on real-world ML projects
Our engineering teams partner with organizations to scope and build prototype ML solutions. We set milestones and defined deliverables before assigning teams.
- Scoped problem definition with defined milestones and timelines
- Team-based progress led by PMs & DS Directors
- Clear deliverables: EDA reports, model prototypes, and evaluations
