Intermediate Certificate
ML Ops & Model Deployment
Learn to deploy and manage ML models in production. This course covers the entire MLOps lifecycle from model versioning to monitoring and scaling.
4.6(1,123 reviews)
7,891 students25 hoursUpdated March 2026Rachel Green
MLOps Lead at 1.ML
Free
Full access to all content
Duration25 hours
Lessons65
LevelIntermediate
LanguageEnglish
CertificateIncluded
What You'll Learn
Model versioning with MLflow
Containerization with Docker
Orchestration with Kubernetes
CI/CD for ML pipelines
Model monitoring and observability
A/B testing and canary deployments
Requirements
- Basic ML knowledge
- Python programming
- Familiarity with command line
- Basic understanding of cloud services
Course Curriculum
Introduction to MLOpsFREE
30:00Model VersioningFREE
1:00:00Experiment Tracking
45:00Feature Stores
1:15:00Instructor
Rachel Green
MLOps Lead at 1.ML
Rachel Green is the MLOps Lead at 1.ML, where she manages the infrastructure serving millions of predictions daily. She brings practical experience from building ML platforms at Fortune 500 companies.