Work on AI safety research

Find a bootcamp

Where our alumni are now

Recommended by 98% of participants

Free for you

Food, accommodation, and teaching are all provided at no cost to participants. Travel costs can be reimbursed if they're a barrier to attending

Close to home

Everyone in a bootcamp comes from the same region so you'll be learning alongside people you can stay in touch with

Great People

Work alongside talented and motivated people who are committed to making an impact

In English

All sessions, materials, and discussions are conducted in English

All backgrounds welcome

We look for people from all walks of life who are committed to contributing to AI safety

A focused environment

Accommodation is on-site and participants stay at the venue for the duration of the bootcamp

Curriculum

Themes

Technical Foundations

Build transformers from scratch, LLM agents, interpretability techniques, RLHF, evaluations

Strategy

AI capabilities and trends, risk modelling, alignment and control, forecasting, tradeoffs between mitigations

Technical Governance

Technical works for governance, compute governance, recent developments

Impact-focused projects

Formulation of your Theory of Change, literature review afternoon, 2-day capstone project with mentorship and peer feedback

Typical schedule

08:00

Breakfast

09:00

Lectures or discussions

Breaking apart technical concepts, technical frameworks, case studies, group debates

11:00

Coding Practicals

Notebooks with multiple difficulty levels

13:00

Lunch

14:00

Coding Practicals

Notebooks with multiple difficulty levels

16:30

Break

17:00

Projects & Careers

Self-reflection, group projects, and 1-on-1 career mentorship

19:30

Dinner & Evening

Guest speakers, Q&A sessions, and social events

Eligibility

AI is going to impact all parts of society and handling it wisely will require people of every background. Our bootcamps are geared towards those who are in or adjacent to the tech world and are committed to contributing to AI safety in a substantial way, either full-time as a job or as a side project.

Some coding experience is useful to make the most of the bootcamp. Our Python workshops have multiple levels of difficulty to adapt to those with a decade of software development experience and those with little.

We're most excited about people who are ready to contribute to AI safety, be that someone with decades of work experience, someone who has just finished their master's or PhD, or someone early in their career.

We expect participants to have basic familiarity with the major risks from AI (e.g. misuse, loss of control) and a rough overview of some proposed solutions. We provide a prerequisite reading list and notebooks to give everyone enough shared understanding to make the most out of the camp.

Upcoming bootcamps

Western Europe

Near Lyon, France

Apr 11 - 19

South Africa

In partnership with AI Safety South Africa

Apr 17 - 25

Central Europe

Near Leipzig, Germany

May 06 - 14

Canada

Near Montréal, Canada

Jun 01 - 09

Meet our teachers

Diego Dorn

Teacher

Diego is a Senior Software Developer at the PEReN, working with the EU AI Office to build the technical infrastructure required for the large-scale evaluation of models. After participating in the very first ML4Good, Diego has taught at 8+ bootcamps and is now training the next generation of teaching staff. He holds a Master's from EPFL and completed his thesis on LLM agent monitoring at CeSIA.

Julian Schulz

Teacher

Julian is a Visiting Researcher at Meridian in Cambridge, leading a project on encoded reasoning. He participated in ARENA and MATS, doing research on Steering Vectors, and worked as an independent researcher on automated feature labeling and robustness of sleeper agent detection.

Monika Jotautaite

Teacher

Monika is an independent researcher in AI Safety. Previously, she participated in Pivotal and Athena Fellowships and ML4Good, and worked for two years as a Data Scientist. She studied an AI Masters at Imperial College London.

Elsa Donnat

Teaching Assistant

Elsa is an AI Policy Fellow at Ada Lovelace Institute. She studied law before moving into AI governance, completing many programmes in the field including ML4Good, MARS, Orion and Talos. Last summer, she was a summer fellow at GovAI where she explored legal issues surrounding future autonomous/AI-run businesses, specifically legal personhood and corporate law.

Charbel-Raphael Segerie

Co-founder, Curriculum Developer

Charbel is the Executive Director of CeSIA. He organized the Turing Seminar (MVA Master's AI safety course), initiated the ML4Good bootcamps, served as TA for ARENA and MLAB, and previously worked as CTO of Omnisciences and researcher at Inria Parietal and Neurospin.

Rich Barton-Cooper

Teacher

Rich is a Research Manager at MATS Research. He worked as a software engineer before transitioning into AI safety by completing AI Safety Fundamentals in 2024 and ML4Good in 2025, and worked on black-box scheming monitoring in MATS for 6 months before joining full-time as a Research Manager.

Past bootcamps

Singapore - September '25

UK - September '25

Germany - September '25

Brasil - September '25

Italy - May '25

Colombia - April '25

France - March '25

Germany - October '24

UK - September '24

Brasil - July '24

France - June '24

UK - March '24

Switzerland - September '23

Germany - August '23

France - August '23

Switzerland - February '23

France - November '22

France - August '22

Interested in bootcamps in your region?

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