Five tracks. One runway.

Bootcamps

Showing 21 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.

  Apply now for Web Development (Foundation)

• 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.

  Apply now for Data Science (Foundation)

• 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.

  Apply now for Artificial Intelligence (Foundation)

• 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.

  Apply now for Cybersecurity (Foundation)

• 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.

  Apply now for Machine Learning (Foundation)

• 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.

  Apply now for Web Development (Core)

• 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.

  Apply now for Data Science (Core)

• 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.

  Apply now for Artificial Intelligence (Core)

• 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.

  Apply now for Cybersecurity (Core)

• 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.

  Apply now for Machine Learning (Core)

• 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)

• Web Development — Advanced

  Advanced

  8 months, 5–8 hrs/week

  40 USDper month

  You can build and deploy a full MERN app in TypeScript. Now work the way a professional team does: tests at every level, Docker and CI/CD, and making a slow app fast, plus the coding and system design rounds interviews ask for.

  • Testing
  • Docker
  • CI/CD
  • System design
  • SQL

  1. Phase 1

     Testing in depth

     Unit, integration and end-to-end tests, and advanced TypeScript.

  2. Phase 2

     Production

     Docker, CI/CD, cloud deployment, caching and performance.

  3. Phase 3

     Interviews & beyond MERN

     Data structures, system design, plus SQL and Next.js basics.

  4. Phase 4

     Capstone

     A team project with code reviews, tests and CI, demoed live.

  Apply now for Web Development (Advanced)

• Data Science — Advanced

  Advanced

  8 months, 5–8 hrs/week

  40 USDper month

  You can build and evaluate a model. Now take on the harder problems of the job: forecasting, text data and LLMs, data too big for one laptop, models running in production, and the SQL rounds and case studies interviews ask for.

  • Forecasting
  • Gradient boosting
  • BigQuery
  • Model deployment

  1. Phase 1

     Advanced modelling

     Gradient boosting, time-series forecasting, and text with embeddings and LLMs.

  2. Phase 2

     Data at scale

     A cloud data warehouse, scheduled pipelines, and a model served behind an API.

  3. Phase 3

     Case studies & interviews

     Business cases, SQL and statistics rounds, and take-home projects.

  4. Phase 4

     Capstone

     An end-to-end project on real data: pipeline, model, and a readout for leaders.

  Apply now for Data Science (Advanced)

• Artificial Intelligence — Advanced

  Advanced

  8 months, 5–8 hrs/week

  40 USDper month

  You've built and tested a RAG app. Now build AI systems that hold up with real users: agents that finish multi-step tasks safely, the deployment, monitoring and cost control an AI engineer owns on the job, and the system design and coding practice interviews ask for.

  • Agents
  • Guardrails
  • Docker
  • System design

  1. Phase 1

     Agents

     Multi-step agents with tools and memory, and guardrails that keep them safe.

  2. Phase 2

     Production

     Docker, cloud deployment, logs and traces, and controlling cost and speed.

  3. Phase 3

     System design & interviews

     Designing AI systems, data structures, and coding problems.

  4. Phase 4

     Capstone

     A production AI agent with evals and monitoring, demoed live.

  Apply now for Artificial Intelligence (Advanced)

• Cybersecurity — Advanced

  Advanced

  8 months, 5–8 hrs/week

  40 USDper month

  You can triage alerts and handle an incident. Now go beyond waiting for alerts: hunt for attackers nobody has flagged, write your own detections, secure cloud accounts, automate the response in Python, and prepare for SOC interviews.

  • Threat hunting
  • Detection engineering
  • Cloud security
  • Forensics

  1. Phase 1

     Threat hunting & detections

     Hunting from a hypothesis, and writing detection rules of your own.

  2. Phase 2

     Cloud & automation

     AWS and Azure logs and identities, and Python that automates the response.

  3. Phase 3

     Forensics & interviews

     Disk and memory triage, malware basics, and SOC interview scenarios.

  4. Phase 4

     Capstone

     Detect, investigate and report a multi-stage attack in a lab, end to end.

  Apply now for Cybersecurity (Advanced)

• Machine Learning — Advanced

  Advanced

  8 months, 5–8 hrs/week

  40 USDper month

  You can train and fine-tune deep learning models. Now run them the way production teams do: pipelines, experiment tracking, cloud deployment and monitoring, plus the ML system design and coding rounds interviews ask for.

  • MLOps
  • Cloud
  • CI/CD
  • ML system design

  1. Phase 1

     MLOps

     Experiment tracking, data and training pipelines, and CI/CD for models.

  2. Phase 2

     Production

     Cloud deployment, scaling and cost, and monitoring for drift.

  3. Phase 3

     System design & interviews

     Designing ML systems, harder coding problems, and mock interviews.

  4. Phase 4

     Capstone

     A model in production with a pipeline, monitoring, and a written design.

  Apply now for Machine Learning (Advanced)

• 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)