Infrastructure Advanced Premium
MLOps and Model Deployment
Build the infrastructure and pipelines needed to deploy, monitor, and maintain AI models in production.
Getting a model into production is only the beginning. This course covers CI/CD for ML, model versioning, A/B testing, monitoring for drift, automated retraining, and the infrastructure patterns that keep AI systems reliable over time.
Lessons (9)
Model Versioning and Experiment Tracking
30 min
CI/CD for Machine Learning
35 min
Model Serving and Inference
30 min
A/B Testing Models in Production
25 min
Monitoring for Drift and Degradation
35 min
Automated Retraining Pipelines
40 min
Infrastructure Patterns for ML
35 min
Case Study: End-to-End MLOps Pipeline
50 min
