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 6 bootcamps

  • Web Development — Foundation

    Foundation
    4 months, 5–8 hrs/week

    20 USDper month

    Never written a line of code? Start here. You'll build real web pages with HTML and CSS, learn JavaScript from the very first line, and finish with an interactive site of your own, live on the internet.

    • HTML
    • CSS
    • JavaScript
    • Git
    1. Phase 1

      HTML & CSS

      Pages and responsive layouts, saved with Git and GitHub from day one.

    2. Phase 2

      JavaScript from zero

      Variables, functions, arrays and objects, and fixing your own errors.

    3. Phase 3

      Interactive pages

      The DOM, events, forms, and fetching data from an API.

    4. Phase 4

      Capstone

      A responsive, interactive site of your own, live on the internet.

  • Data Science — Foundation

    Foundation
    4 months, 5–8 hrs/week

    20 USDper month

    No coding or statistics background needed. You'll learn Python from the very first line, the tools data scientists work in every day, and how to load a real dataset and start asking it questions.

    • Python
    • Jupyter
    • Git
    • Pandas
    1. Phase 1

      Python from zero

      Variables, loops, functions, lists and dictionaries.

    2. Phase 2

      A data scientist's tools

      Notebooks, the terminal, Git and GitHub, and fixing your own errors.

    3. Phase 3

      First look at data

      Loading a CSV with Pandas, then counting, averaging and charting it.

    4. Phase 4

      Capstone

      Answer real questions about a dataset in a notebook you can share.

  • Artificial Intelligence — Foundation

    Foundation
    4 months, 5–8 hrs/week

    20 USDper month

    No programming background needed. You'll learn Python from the very first line, the everyday tools developers use, and how programs talk to each other over the internet, finishing with your first call to an AI model from your own code.

    • Python
    • Git
    • JSON
    • APIs
    1. Phase 1

      Python from zero

      Variables, loops, functions, lists and dictionaries.

    2. Phase 2

      Working like a developer

      The terminal, Git and GitHub, debugging, and your first tests.

    3. Phase 3

      Data and APIs

      JSON, files, and calling web APIs from your code.

    4. Phase 4

      Capstone

      A command-line assistant that gets its answers from an AI model.

  • Cybersecurity — Foundation

    Foundation
    4 months, 5–8 hrs/week

    20 USDper month

    Start with no IT or coding background. In hands-on labs you'll learn how computers, Windows, Linux and networks actually work, and write your first Python: the ground every security job stands on.

    • Linux
    • Windows
    • Networking
    • Python
    1. Phase 1

      How computers work

      Operating systems, files and users, on the Windows and Linux command lines.

    2. Phase 2

      How networks work

      IP addresses, DNS, ports, and what happens when you open a website.

    3. Phase 3

      Python from zero

      Variables, loops, functions, and reading files with your own code.

    4. Phase 4

      Capstone

      Build a home lab, and a Python script that summarises one of its log files.

  • 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.

  • Self-Paced — Any level

    Any level
    4 months, your own hours

    from 5 USDper month

    Set your own hours and start from wherever you are. Pick any of our five subjects and an AI instructor teaches it at your level: it explains, sets exercises and checks your work, alongside a cohort so you're not learning alone.

    • AI instructor
    • Any subject
    • Any level
    • Cohort
    1. Phase 1

      Pick your subject

      Web, data, AI, machine learning or cybersecurity, from your level.

    2. Phase 2

      Learn with your AI instructor

      Lessons and exercises, with help the moment you're stuck.

    3. Phase 3

      Keep pace with your cohort

      Share progress and small builds with other learners.

    4. Phase 4

      Capstone

      A project in your subject, added to your portfolio.

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.