Lesson 1
Pipeline orchestration fundamentals
Preview22 min
AI & Data
MLOps Pipeline Engineering
A practical path for engineers building repeatable ML delivery systems. Covers feature workflows, model registries, deployment automation, and measurable production feedback loops.
Level
Intermediate
Duration
8 weeks
Lessons
34 lessons
What learners walk away with
Model versioningDeployment automationMonitoring
Curriculum preview
Lesson 2
Model registry lifecycle
26 min
Lesson 3
Canary rollout and rollback
29 min
Lesson 4
Drift and quality alerts
20 min