AI Research Mentoring Programs

Personalized 1:1 programs designed around each student's experience, interests, and research goals — from a first machine-learning project to a complete research paper.

Research mentorship led by experienced AI practitioners
AI research mentoring

Choose the Right Research Track

Students do not need to arrive with a finished research idea. The appropriate track depends on technical experience, available time, and the depth of research the student wants to pursue.

Research Foundations Track

Approximately 8 sessions

A structured introduction to applied AI research for students who want to learn the research process while completing a focused machine-learning project.

  • Python and machine-learning foundations where needed.
  • Selection of a focused research question.
  • Work with a real-world dataset.
  • Build and evaluate one or more ML models.
  • Interpret results and identify limitations.
  • Produce a short technical report or research-style write-up.
Best for: students who are new to AI research, want to build technical confidence, or would like to test whether a longer research project is right for them.

How a Full Research Project Develops

The exact timeline varies by student and project, but a complete research project typically moves through the following stages.

  • 1

    Research Question & Literature

    Identify an area of interest, review relevant prior research, and narrow the project into a focused, testable question.

  • 2

    Data & Methodology

    Select an appropriate dataset, define evaluation metrics, and design a clear experimental methodology.

  • 3

    Model Development

    Build baseline models and progressively test more advanced machine-learning approaches.

  • 4

    Experimentation & Evaluation

    Run experiments, compare models, investigate errors, and analyze whether the evidence supports the research hypothesis.

  • 5

    Research Writing

    Develop the introduction, methodology, results, discussion, figures, references, and conclusions into a coherent research paper.

  • 6

    Revision & Next Steps

    Revise the paper and, where appropriate, identify journals, competitions, or other suitable venues for submission.

What Students Build

The focus is on developing genuine research skills rather than simply producing an impressive-looking final document.

Technical Project

Working code, data analysis, trained models, experiments, and reproducible results.

Research Writing

A structured technical report or research paper explaining the problem, methodology, results, and limitations.

Research Skills

Experience reading literature, designing experiments, evaluating models, and defending technical decisions.

Pricing

Simple hourly pricing allows the program to adapt to the actual needs and pace of each project.

$100 / hour
Private 1:1 research mentorship
  • 10% discount for packages of 10 or more mentoring hours.
  • Students can begin with a smaller number of sessions before committing to a longer research track.
  • Unused prepaid mentoring hours are eligible for pro-rated refunds in accordance with our Terms.
  • No cancellation fee for unused hours.
Important: Journal submission fees, publication charges, competition entry fees, software subscriptions, cloud-computing costs, or other third-party expenses are not included in mentoring tuition unless specifically stated. Publication or competition outcomes are never guaranteed.

Not Sure Which Track Is Right?

Apply with the student's current experience, interests, and goals. We can recommend an appropriate starting point and research scope after reviewing the application.

Apply for Mentorship