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 — Core

    Core
    5 months, 5–8 hrs/week

    25 USDper month

    You can build a page with HTML, CSS and basic JavaScript. Now learn modern JavaScript and React properly, the front-end half of the MERN stack, and build a multi-page app that works with live data.

    • JavaScript
    • React
    • React Router
    • React Query
    • Tailwind CSS
    1. Phase 1

      Modern JavaScript

      Async code, modules and array methods, practised on small coding problems.

    2. Phase 2

      React

      Components, props, state and hooks, plus Context for state shared across pages.

    3. Phase 3

      React apps

      Routing, forms, API data with React Query, Tailwind styling, and accessibility.

    4. Phase 4

      Capstone

      A deployed multi-page React app built on a real API, for your portfolio.

  • Data Science — Core

    Core
    5 months, 5–8 hrs/week

    25 USDper month

    You can write basic Python. Now do the daily work of a data scientist: clean messy data with Pandas, pull it from databases with SQL, and use probability, statistics and charts to explain what's really going on.

    • NumPy
    • Pandas
    • SQL
    • Statistics
    • Matplotlib
    1. Phase 1

      NumPy & Pandas

      Fast maths on arrays, then cleaning, joining and reshaping messy data.

    2. Phase 2

      SQL & databases

      Queries, joins, grouping and window functions on a real database.

    3. Phase 3

      Statistics & visualization

      Probability, distributions and sampling, with charts in Matplotlib and Seaborn.

    4. Phase 4

      Capstone

      A full analysis of a real dataset, with written findings you can defend.

  • Artificial Intelligence — Core

    Core
    5 months, 5–8 hrs/week

    25 USDper month

    You can write basic Python. Now build real apps on AI models: prompts that work reliably, answers your code can use, a backend of your own, and a SQL database behind it, finishing with a chatbot other people can open and use.

    • LLM APIs
    • Prompting
    • FastAPI
    • SQL
    1. Phase 1

      Working with AI models

      Tokens, context and cost, prompting, and structured output.

    2. Phase 2

      Backends

      A FastAPI service with chat memory, streaming and error handling.

    3. Phase 3

      SQL & databases

      Tables, queries and joins, and saving users and chats in Postgres.

    4. Phase 4

      Capstone

      A deployed chatbot with a web page, a backend and a database.

  • Cybersecurity — Core

    Core
    5 months, 5–8 hrs/week

    25 USDper month

    You know your way around a computer, a network and basic Python. Now learn how attacks really work and how defenders see them: reading network traffic, the security fundamentals every analyst is asked about, and scripts that do the routine checking for you.

    • Wireshark
    • MITRE ATT&CK
    • Vulnerability scanning
    • Python
    • Bash
    1. Phase 1

      Networks & traffic

      Packet captures in Wireshark, plus firewalls, intrusion detection and email filtering.

    2. Phase 2

      Security fundamentals

      How attacks work, encryption, MITRE ATT&CK, and scanning for vulnerabilities.

    3. Phase 3

      Scripting for security

      Python and Bash scripts that parse logs and automate checks, kept in Git.

    4. Phase 4

      Capstone

      Scan a small lab network for weaknesses, harden it, and write up what you did.

  • Machine Learning — Core

    Core
    5 months, 5–8 hrs/week

    25 USDper month

    You can train and evaluate a simple model. Now do the work of a junior ML engineer: stronger models, your first neural network, and a model served behind a tested API in Docker instead of stuck in a notebook.

    • XGBoost
    • PyTorch
    • FastAPI
    • Docker
    1. Phase 1

      Stronger models

      Feature engineering, XGBoost, cross-validation, plus clustering and PCA.

    2. Phase 2

      First neural networks

      PyTorch basics: tensors, training loops, and a simple network.

    3. Phase 3

      Engineering practice

      A tested FastAPI service in Docker, plus data structures and coding problems.

    4. Phase 4

      Capstone

      A deployed model with a small product built around it.

  • 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.