ML Safety Accelerator Program

Join a 7-week machine learning upskilling program based on ARENA.

Weekly 6-hour tutorials on UBC campus with food provided
Math skills and at least intermediate coding experience in Python preferred
Small groups of ~6-8 people
No additional work outside of meetings

Interested? Apply here by October 12.

Who can apply?

We aim to accept primarily undergraduate and graduate students at UBC, but students from other schools or working professionals are encouraged to apply.

What are the dates?

TBD.

Where does the cohort meet?

TBD.

How much experience with machine learning do I need?

Relatively strong math skills (e.g. about one year's worth of university-level applied math)
Strong coder (e.g. have a CS degree / work experience in SWE, or have worked on personal projects involving a lot of coding)
Have experience coding in Python

What I don't have enough experience in machine learning or AI Safety?

Check out Intro to AI Alignment, our introductory program that requires less commitment and experience. We also run an open Policy Reading Group whose schedule will be published shortly.

What if I already know all the material in the curriculum?

Please contact us at the bottom of this page to explore other ways of getting involved!

Who will be my facilitator?

TBD.

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