Pros
There is not real advantage. You can learn more from any mooc course + Data scientist competition.
Cons
From the website, this is what they offer ( In brackets is my opinion) a) build scalable machine learning models with agile software development methodology. (Well, if for ' build scalable ML models ' they refer to download a lot of images and train a resnet, yes it is's true. This is what we do the 80% of the time ) b)They say: mentoring by experienced ML practitioners.(Not true. There is not mentoring at all.) c)pair program with other fellows (Yes, we are in the same location) d) apply latest research in deep learning, reinforcement learning, generative adversarial networks ( Not true, we are just applying a Resnet architecture) e) full-time for four months ( Yes, it is true) f) fully remote with optional in-person collaboration ( It is not fully remote, they asking the fellow to move specific locations) In addition, there are not ' real projects ' or ' real clients ' at all. ( I was based in Europe, but not in Paris )