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 — 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.