Nobody has finished this course, because it has not opened. That means there are no graduates, no offer numbers, no salary averages and no five-star quotes — and every one of those would be trivial to fabricate.
So this page holds the targets instead: what the course is for, and how we intend to be measured once there is anything to measure. If you are reading this a year from now and it still lists goals rather than results, that is itself a result, and you should weigh it.
For someone who can already program, arriving without a machine learning job. The whole path is on the site, in order, ending at the interview loop.
For people already doing the job whose ceiling is the system design round. The systems and interview tracks are aimed squarely at that.
Finishing the transformer and LLM tracks should mean opening a paper published this week and following it. That is a goal you can check for yourself.
Outcome numbers in this industry are usually unfalsifiable. These are the rules we are binding ourselves to before we have any numbers, which is the only time such a promise costs anything.
You cannot verify an outcome that does not exist, but you can judge the material, and all of it is free and open right now. Read a module, play a challenge, and decide from that whether the rest is worth your time.