Training a machine learning model is the easiest part. Textbooks cover it. Courses teach it. Tools automate it.
The real challenge is everything else.
Framing the right problem—turning a business need into an ML solution. Designing a system that doesn’t just work in theory but runs reliably in production. Deploying models in a way that scales, stays compliant, and keeps learning over time.
ML isn’t about training models. It’s about building solutions. And that’s the part no one teaches.