The AGI strategy course materials are freely available online, so why apply rather than go through the material yourself?
What you’re applying for is access to an 8,000+ (and growing!) community who are serious about contributing to AI safety. We also provide programs like career transition grants, rapid grants and 1-1 advising to support them.
The AGI strategy course builds your understanding of advanced AI systems — what they can do, what drives progress, what the concrete risks are, and who controls development — so you can make informed decisions about how to contribute.
We reject more than half of applications to the course. This post helps you figure out if you should spend time on an application.
What the AGI strategy course is NOT
It’s not a corporate responsible AI course
If your goal is ISO 42001 compliance, responsible AI frameworks for your product team, or helping your organisation navigate the EU AI Act, you should look into something like IAPP’s AIGP certification or ISO 42001 programs instead.
It’s not an AI ethics course
We don’t cover algorithmic bias in hiring tools, fairness metrics, or the full range of social impacts of current AI systems. If that’s your focus, you’re better served by something like this or this.
It’s not for passive learners
You’re expected to actively engage with others who are motivated to make the future go well. If you haven’t started thinking seriously about risks from advanced AI, take the 2-hour, self-paced Future of AI course first.
What gets you in
It’s not (just) your CV. We’ve rejected plenty of people from prestigious institutions with impressive resumes who wrote three-word applications, and we’ve also accepted sharp people with more modest titles who showed they were already sprinting ahead.
We’re looking for people who are already taking action: applying to roles, going to events, building things, writing, talking to people in the field. You don’t need a perfect plan, but something more specific than “apply for fellowships”. This is a line we see in dozens of applications every round.
Your application itself is evidence for us too. We use it to infer how you’ll show up in a live discussion session of 6-8 people working through hard material together. Effort, agency and clarity go a long way.
Before you apply, ask yourself this:
Am I focused on frontier AI, or AI in general?
Do I have a specific reason to take this course now?
Will I act on this fully within six months?
If you’ve read this and you’re thinking: ”yes, this is me”, apply here.
Hey Li-Lian , I like the curriculum so I have to apply for the course as I can see directly on platform btw just for context I work as Applied AI Engineer and curious of AI Safety so taking this up !!
Useful post. One question it raises for me is whether AI safety selection processes may still overweight conventional ML signals and underweight independent systems-oriented work from adjacent fields.
In my case, I combined an ML course and independent technical work with a two-year multi-agent project focused on coordination failures, emergent behaviour, memory, signal detection, and evaluation, but I suspect the profile may still not fit the usual technical template.
As AI systems become more agentic, I hope there will be room for less standard but still safety-relevant paths.