Spot on, Shailesh. Skipping the shiny prompt layer to understand the underlying system architecture is the only way to build resilient AI products that truly scale. Great blueprint.
Really appreciate that you start with how AI systems actually works. One thing I’d love your take on: where in this 90‑day path would you go deep on cost and latency trade‑offs (model choice, routing, caching)? That’s becoming a core skill for any serious AI PM.
Week 3 on data pipelines is where I see most self-taught AI PM candidates fall short — they can demo a model integration but haven't asked where the training data came from or how stale it is. That gap shows up immediately when they're in a design review with an ML team.
This is a great resource!
Spot on, Shailesh. Skipping the shiny prompt layer to understand the underlying system architecture is the only way to build resilient AI products that truly scale. Great blueprint.
Really appreciate that you start with how AI systems actually works. One thing I’d love your take on: where in this 90‑day path would you go deep on cost and latency trade‑offs (model choice, routing, caching)? That’s becoming a core skill for any serious AI PM.
It’s there in our AI PM interview questions , all these things explained in detail
Week 3 on data pipelines is where I see most self-taught AI PM candidates fall short — they can demo a model integration but haven't asked where the training data came from or how stale it is. That gap shows up immediately when they're in a design review with an ML team.