Workshop Series: Applied AI System

Most learn models. Few learn how to build AI systems that survive in production.

This is practitioner's series, not theory. highly customizable depending on the expectations and audience. Highly dependent on my availability and on demand.

Mostly covers below:

1. Framing an ML or GenAI problem the "system way"
2. Designing data and pipeline architecture
3. key design decisions: Latency, cost, observability
4. Containerization, orchestration & Monitoring tips
5. A live walkthrough of an applied prototype journey

By the end, you'll know how to connect modeling, engineering, and business thinking -- and you'll leave with frameworks you can immediately use in your projects or teams.