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

Apply by September 26!

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.

When and where does each cohort meet?

We ask for your availability in the application and will try to accommodate your schedule when forming cohorts. Each cohort meets once a week for four hours in-person at UBC. The exact location is to be determined.

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?

Our facilitator for this program is Justice, a PhD student at UBC. See his bio here.

What are the dates?

The course will run from the week of Oct 6th to the week of Nov 25th. We will meet weekly on Saturday from 10 - 4pm, except for midterm break (week of Nov 10th).

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