Five tracks. One runway.

Bootcamps

Showing 6 bootcamps

• Web Development — Intermediate

  Intermediate

  6 months, 5–8 hrs/week

  32 USDper month

  You can build a React front end. Now add the other half of the MERN stack, written in TypeScript: your own API in Node and Express, a MongoDB database, secure logins and tests, finishing with a complete app that's live.

  • TypeScript
  • Node.js
  • Express
  • MongoDB
  • Authentication

  1. Phase 1

     TypeScript, Node & Express

     TypeScript basics, then a typed REST API with validation and error handling.

  2. Phase 2

     MongoDB

     Modelling data with Mongoose, and the queries your app needs.

  3. Phase 3

     Logins, security & testing

     Sign-in with JWT, permissions, common web attacks, and tests for your API.

  4. Phase 4

     Capstone

     A full MERN app in TypeScript with tests, deployed, built through pull requests.

  Apply now for Web Development (Intermediate)

• Data Science — Intermediate

  Intermediate

  6 months, 5–8 hrs/week

  32 USDper month

  You can clean and analyse data. Now learn what separates a data scientist from an analyst: running experiments, building predictive models, and proving they'll hold up on data they haven't seen.

  • A/B testing
  • Scikit-learn
  • Feature engineering
  • Model evaluation

  1. Phase 1

     Statistics & experiments

     Hypothesis tests, confidence intervals and A/B tests, without the proofs.

  2. Phase 2

     Machine learning

     Regression, classification and trees, plus clustering and PCA, in Scikit-learn.

  3. Phase 3

     Models you can trust

     Feature engineering, cross-validation, the right metrics, and avoiding leakage.

  4. Phase 4

     Capstone

     A predictive model for a business problem, presented to a non-technical audience.

  Apply now for Data Science (Intermediate)

• Artificial Intelligence — Intermediate

  Intermediate

  6 months, 5–8 hrs/week

  32 USDper month

  You can build a simple AI app. Now build the kind companies hire for: assistants that answer from a company's own documents with RAG, call functions and outside APIs, and are tested like real software so you know when they're wrong.

  • RAG
  • Vector databases
  • Tool calling
  • Evals

  1. Phase 1

     RAG

     Embeddings, chunking, vector search, and answers that cite their sources.

  2. Phase 2

     Tool calling

     Models that call your functions, query databases and use outside APIs.

  3. Phase 3

     Testing & evals

     Automated tests for your code, eval sets for answers, and code reviews.

  4. Phase 4

     Capstone

     An assistant over real documents, deployed, with tests for its answers.

  Apply now for Artificial Intelligence (Intermediate)

• Cybersecurity — Intermediate

  Intermediate

  6 months, 5–8 hrs/week

  32 USDper month

  You understand networks, attacks and scripting. Now practise the job of a SOC analyst: search logs in a SIEM, work out which alerts are real, and take an incident from the first alert to the written report.

  • SIEM
  • EDR
  • Alert triage
  • Incident response

  1. Phase 1

     Logs & SIEM

     Windows, Linux and network logs, and the queries that search them in a SIEM.

  2. Phase 2

     Alert triage

     Phishing, malware and suspicious logins in an EDR: real threats versus noise.

  3. Phase 3

     Incident response

     Containing an attack, when to escalate, playbooks, and clear ticket notes.

  4. Phase 4

     Capstone

     Work a simulated attack from first alert to incident report.

  Apply now for Cybersecurity (Intermediate)

• Machine Learning — Intermediate

  Intermediate

  6 months, 5–8 hrs/week

  32 USDper month

  You can build and serve a model. Now go deep on deep learning: networks for images and text in PyTorch, fine-tuning pretrained transformers, and putting embeddings and LLMs to work in real systems.

  • PyTorch
  • Computer vision
  • NLP
  • Transformers

  1. Phase 1

     Deep learning in depth

     CNNs, sequence models, and getting training to converge.

  2. Phase 2

     Transformers

     How they work, and fine-tuning pretrained models for text and images.

  3. Phase 3

     Embeddings & LLMs

     Semantic search, and when to fine-tune a model or just prompt one.

  4. Phase 4

     Capstone

     A fine-tuned model for a real task, evaluated and served behind an API.

  Apply now for Machine Learning (Intermediate)

• 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.

  Apply now for Self-Paced (Any level)