Engineering Self-paced
Systems design foundations
Build a mental model for design interviews and real architectures — without memorizing flashcards.
$320
Engineering Advanced Cohort
Applied ML engineering
Take a model from notebook to service — serving, evaluation, and the cost of being wrong.
What this course is about
A cohort course for engineers who can train a model and now need to serve one. We cover serving patterns, evaluation in production, drift, and the honest economics of ML. By the end you ship a small service with monitoring and a rollback plan.
What you leave with
- Ship a serving pattern with monitoring and rollback
- A drift detection playbook
- Honest cost modeling for ML workloads
Skills you practice
Serving patternsEvaluationDrift detectionCost analysis
Prerequisites
- Python ML at intermediate level
- One model trained and evaluated
Time by module
Minutes per module. Hover or focus a bar for the exact count. M1 is the first module in the syllabus.
| Category | Minutes |
|---|---|
| M1 | 72 |
| M2 | 67 |