chapter 47
monitoring, drift, cloud scale, and portfolio launch
the last mile: logs, drift, alerts, retraining decisions, cloud cost, gpu constraints, architecture docs, demos, and role stories.
coming soon
This chapter is planned, but its lessons are not launch-ready yet. The current public course ends at the authored chapters; this path will open when the lessons are real.
lessons in this chapter
- structured logs and alerts
- data drift and concept drift
- retraining triggers and human review
- cloud, gpus, kubernetes, and cost
- portfolio architecture docs and demos
- mission: final portfolio ml system