Join us for the summer project showcase (October 29th, 2pm, Foley’s at Notre Dame Stadium; RSVP here)
For students

AI experience that makes you skilled, not just knowledgeable.

A paid work study job open to any major. You work on a live problem inside a real company from May through August, with C-Suite clients, with an option to continue the program into the academic year.

Fellowship Application Meet current fellows

What the fellowship involves

Before you apply

Not technical? That's fine.

We start with two full weeks of training before any project kicks off: dev environment setup, working with AI tools, and how to actually run a project. You can start from zero.

Fellows come in with all kinds of technical backgrounds, some have never written a line of code. Training closes that gap, and teams are built so everyone pulls their weight.

What you will actually do

Build something a company depends on.

You will join a team of two or three, working a real problem for a named executive champion. A project coach checks in weekly, and DAC's technical advisors jump in when a build gets heavy.

By the end, you present to the company and hand off documentation they can actually use. Several fellows have seen their work keep running long after the summer ended.

The year

How the timeline runs.

From application to a working system, with training built in before anyone touches a project.

1
Fall

Applications open

The application opens online in the late fall. Sign up below to get notified.

2
Spring

Selection

Interviews and selection are finalized by February. Communication about the summer program continues until April.

3
May to August

Training, then build

About two weeks of technical training and partner tours, then a full-time paid project with a regional company through the summer.

4
Academic year

Continue

Best performers continue the fellowship into the academic year, working on new projects through part-time work study.

The cohort

Every corner of campus, building with AI.

Psychologists and aerospace engineers, freshmen and MBA candidates. Different backgrounds make teams stronger.

Gabriella Zeller

Psychology and Spanish

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This is the type of hands-on experience that you don't get with a typical internship. You'll work directly with high-ups at firms like CFOs, presidents, CEOs.

Gabriella, Psychology and Spanish

Maureen Tremblay

Computer Science

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I've spent just as much time working on the technology as I have collaborating with my teammates and communicating with our stakeholders.

Maureen, Computer Science

Akshat Mathur

Finance MBA

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I had a background completely in finance and investment banking, and the problem… was related to CAD drawings and 3D models. That's as far as you can go from a DCF model.

Akshat, Finance MBA

Liam Bas

Neuroscience and Behavior

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It's one thing to learn about AI in the classroom. It's totally different when you're working with a real client and building something people will actually use every day.

Liam, Neuroscience and Behavior

Sarah Sargent

Mechanical Engineering and Spanish

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There were many moments where it was up to us, to 20-year-olds, to figure out how we were going to structure our project.

Sarah, Mechanical Engineering

Kristiana (Kiki) Petrovic

Finance and Economics

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I went into the project assuming that AI would solve everything… I realized most of the challenges weren't going to be solved by AI, and they were process problems.

Kiki, Finance and Economics

Meet the full cohort

The full cohort

Connect with AI Leaders

Aaron Afemikhe

Aaron Afemikhe

Management

AJ Meyers

AJ Meyers

Master of Science in Accountancy

Akshat Mathur

Akshat Mathur

Finance, Minor in Business Analytics

Allison Ore

Allison Ore

Finance, Minors in AI Analytics in Business & Theology

Andrew Severino

Andrew Severino

Mechanical Engineering, Minor in Engineering Corporate Practice

Annie Rogers

Annie Rogers

Finance & Business Analytics, Minor in French

Anuj Chopra

Anuj Chopra

Finance

Batyrkhan Alimzhanov

Batyrkhan Alimzhanov

Aerospace Engineering & ACMS

Christopher Qian

Christopher Qian

Aerospace Engineering, Minor in International Security Studies

Gabriella Zeller

Gabriella Zeller

Psychology & Spanish, Minor in Business Economics

Ginger Gould

Ginger Gould

Aerospace Engineering, Minor in Computational Digital Technologies

Holden Pecoraro

Holden Pecoraro

ACMS & Economics, Minor in Real Estate

Jimmy Liu

Jimmy Liu

Master of Science in Accountancy

Joe Kolar

Joe Kolar

Mechanical Engineering, Minor in Engineering Corporate Practice

Joseph Mathew

Joseph Mathew

Aerospace Engineering

Joy Chen

Joy Chen

Master of Science in Accountancy

Juan Arcos

Juan Arcos

MBA, Business Analytics Major, Finance Minor

Karina McMahon

Karina McMahon

Business Analytics & Accounting

Kendelle Hung-Ino

Kendelle Hung-Ino

Business Analytics

Kristiana (Kiki) Petrovic

Kristiana (Kiki) Petrovic

Finance & Economics

Lesley Ekisowe

Lesley Ekisowe

Business Analytics, Strategy and Product Management

Liam Bas

Liam Bas

Neuroscience and Behavior

Liam Fuller

Liam Fuller

Master of Science in Accountancy

Marc Kawkabani

Marc Kawkabani

Strategy

Mark Imburgia

Mark Imburgia

Master of Science in Accountancy

Maureen Tremblay

Maureen Tremblay

Computer Science

Melany Morales

Melany Morales

Computational and Applied Mathematics

Ozi Akukwe

Ozi Akukwe

Mechanical Engineering, Minor in Collaborative Innovation

Ryan Dolan

Ryan Dolan

Mechanical Engineering, Minor in Engineering Corporate Practice

Sarah Sargent

Sarah Sargent

Mechanical Engineering & Spanish

Sean Patnett

Sean Patnett

Business Analytics

Shane McAnuff

Shane McAnuff

Mechanical Engineering

Shiyu (Katelyn) Dong

Shiyu (Katelyn) Dong

Finance

Thomas Maldonado

Thomas Maldonado

Economics, Minor in Foundations of Business

Thomas Parker

Thomas Parker

Business Administration

Tom Delany

Tom Delany

Master of Science in Accountancy

Ty Purrenhage

Ty Purrenhage

ACMS & Global Affairs

Tyler Budhu

Tyler Budhu

Finance & Computer Science

Yash Talathi

Yash Talathi

Business Analytics

Questions

What students ask.

Eligibility & applying

Do I need to be a CS or engineering major?

No, fellows represent five of the seven Notre Dame colleges across dozens of fields of study and range from freshmen to MBA candidates.

What year do I need to be?

Any year, from current freshman up to MBA students.

What does the application involve?

The application involves short essays and AI maturity questions (only for our reference, not disqualification). Shortlisted applicants will proceed with online interviews.

Can I talk to someone who has done it?

Current fellows hold office hours during the application window. Email us to set up a time.

Training & the work

What does the training actually cover?

Our team will train you on:

  • Development environment setup
  • Problem solving and project management
  • A deep dive on generative AI
  • ETL and data pipeline concepts using AI-assisted coding
  • Data science and forecasting
  • Robotic process automation
  • Working norms, issue tracking, meeting cadence, and how to present to an executive
Where is training located?

Training weeks are in person at the Innovation Park with some tours of regional companies.

Is it paid?

Yes, this Fellowship constitutes professional employment. The standard undergraduate ($18) and graduate ($20) work study rates apply.

Fellowship application

Get notified when application opens.

One email, when applications open. Nothing else.

See the projects