Building AI Products
Ship reliable, trustworthy AI features by designing for uncertainty, evaluation, and cost from day one.
intermediate · 45 minutes
Building with large language models is different from building traditional software: outputs are probabilistic, quality is hard to measure, and a polished demo rarely survives real users. This course covers the practitioner's playbook for taking an AI feature from prototype to production. You will learn to frame the problem, design UX for uncertainty, choose models wisely, add guardrails and evaluation, protect data, and control cost while iterating with a data flywheel.
What you'll learn
- Is AI the Right Tool?
- Designing UX for Uncertainty
- Choosing and Configuring Models
- Reliability, Guardrails, and Evaluation
- Security, Privacy, and Cost Control
- From Prototype to Production and the Data Flywheel