Applications

Fall 2026 cohort — applications are open.

Cohort starts

Pick your track and level below, then hit Enroll. The application takes about 3 minutes.

Bootcamps

Five tracks. One runway.

Every track is project-first, mentor-led, and built around a student schedule.

Bootcamps

Showing 1 bootcamp

  • Machine Learning — Foundation

    Foundation
    4 months, 5–8 hrs/week

    20 USDper month

    Starts after Data Science Core, or the same skills: Python, Pandas, SQL and basic statistics. You'll train your first models, learn how a model actually learns, and start writing code the way engineers do, with tests.

    • Scikit-learn
    • NumPy
    • Model evaluation
    • Testing
    1. Phase 1

      Your first models

      Regression, classification and decision trees with Scikit-learn.

    2. Phase 2

      How models learn

      Loss, gradient descent and overfitting, with the math worked out in code.

    3. Phase 3

      Code like an engineer

      Clean project structure, tests, and experiments you can reproduce.

    4. Phase 4

      Capstone

      Train, evaluate and explain a model on a real dataset, in a tested project.

How a bootcamp works

Simple on purpose.

  1. Apply & get placed

    A quick chat (not an exam) to match you with the right track and level.

  2. Build every single week

    Plan for 5–8 hours a week: about 2 hours of live class, the rest self-study and weekly builds. Small wins that compound into serious skills.

  3. Capstone & career week

    Ship a final project, demo it live, then polish your resume and portfolio with mentors.