Teaching AI to 1000+ Students — Here's What Actually Works

Lessons from delivering AI workshops at universities, corporates, and bootcamps for the past 7 years.

The Setup

Every engineering decision starts with a context. In the last six months, I have shipped systems where the obvious answer turned out to be exactly wrong — and where the unintuitive choice quietly outperformed for months.

The Core Insight

What follows is not a rulebook. It is a list of failure modes I have walked into so you do not have to.

1. The Cheap Win

Most teams over-engineer the model and under-engineer the data pipeline. Reverse that ratio.

2. The Slow Win

The systems that win in production are the ones that fail gracefully — not the ones that have the lowest benchmark error.

More on this in the next post.