13
MLOps & Production AI
Model deployment, serving, monitoring, and ML pipelines
4 lessons190 min totaladvanced
1
Deploying ML Models
Export models in production formats and serve them via APIs
2 exercisesQuiz50m
2
Experiment Tracking & Model Registry
Log, compare, and manage ML experiments systematically
2 exercisesQuiz45m
3
ML Pipelines & Orchestration
Build automated, reproducible ML workflows with pipeline orchestrators
2 exercisesQuiz50m
4
Model Monitoring & Observability
Detect drift, track performance, and keep production models healthy
2 exercisesQuiz45m