Unit 1: Introduction to MLOps
Unit 2: Cloud Platforms for ML
Unit 3: Selecting Your Cloud ML Platform
ML Engineer's Guide to Cloud ML Model Deployment & Production Best Practices
Master the essentials of MLOps, from cloud deployment strategies and CI/CD pipelines to robust monitoring and governance, ensuring your ML models thrive in production.
Unit 1: Containerizing Your ML Models
Unit 2: Orchestrating ML Deployments with Kubernetes
Unit 3: CI/CD for ML Models
Unit 1: The 'Why' of ML Monitoring
Unit 2: Performance & Prediction Monitoring
Unit 3: Data Drift & Concept Drift
Unit 4: Alerting & Remediation
Unit 5: Infrastructure & Cost Monitoring
Unit 1: Introduction to Model Governance
Unit 2: Lineage & Auditability
Unit 3: Responsible AI in Production